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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Doctoral and Masters Consortium on Ontologies (WTDO),
November</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>OntoImpact*: The Fundamentals of a Collaborative Impact Projection of Complex Decision</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Juliana B. S. França</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marcos R. S. Borges</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Federal University of Rio de Janeiro</institution>
          ,
          <addr-line>Rio de Janeiro</addr-line>
          ,
          <country country="BR">Brazil</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2022</year>
      </pub-date>
      <volume>2</volume>
      <fpage>2</fpage>
      <lpage>25</lpage>
      <abstract>
        <p>Complex decisions can be understood as an unpredictable process, uncommon and composed of actions. To handle this complexity, it is necessary to think and apply strategies to mitigate the risks and the unpredictable actions concerned to a decision making. Design the complex decision impact can bring alternatives to solve problems with less damage to the environment and humans involved. In this paper, we propose an impact projection's conceptualization, modelled into an ontology called OntoImpact*. This ontology proposal has a differential in representing the state of art about complex decisions impact, through the decision-making process, impact characterizers, agents involved and contextual information. This ontology is based on the unified foundational ontology (UFO) and is organized into five aspects: decision agents and domain characteristics; collaboration aspects; complex decision process and activities; structural elements of impact projection; and impact details. In this paper we present the contribution of UFO in the meaning of OntoImpact*.</p>
      </abstract>
      <kwd-group>
        <kwd>1 Complex decision</kwd>
        <kwd>UFO</kwd>
        <kwd>Impact Projection</kwd>
        <kwd>Collaborative Environment</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Decision-making is a common process in humans’ life. The more diverse the environment in which
the decision is made, the complex are the tasks. Every day, decision makers face decision tasks that are
chaotic, complex, and interrelated [
        <xref ref-type="bibr" rid="ref20">20, 30</xref>
        ]. A complex decision can be understood as a complex system,
composed of interrelated variables [
        <xref ref-type="bibr" rid="ref10 ref9">10, 9</xref>
        ]. It is difficult to isolate the elements that influence such a
decision. Their impacts are interdependent, and the environment in which they are embedded generates
constant change [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. Decisions are made by individuals, and are affected by the environment and by
perceptions, beliefs and experiences. Traditionally, decision-making process was viewed as a rational
behavior; however, human decisions and tasks are influenced by intuition, perception, creativity, and
emotional responses to a much greater extent than previously thought [
        <xref ref-type="bibr" rid="ref3 ref4">3, 30, 4</xref>
        ]. Based on these aspects,
this research understands complex decision as the one that encompasses the principles of the
Naturalistic Decision Making (NDM) [
        <xref ref-type="bibr" rid="ref25">27, 25</xref>
        ].
      </p>
      <p>
        Impact projection is a natural initiative in decision making field. However, it is a tacit or individual
task. Some research [
        <xref ref-type="bibr" rid="ref19 ref21 ref22 ref23 ref24">19, 21-24, 33</xref>
        ] have argued the importance of projecting the impact of complex
decisions in a shared way; however, their models do not explicitly offer a way of conducting
collaborative impact analysis, considering not only the explicit knowledge and data bases, but the tacit
knowledge developed by decision-makers based on previous experiences and cognitive attributes such
as intentions, beliefs or desires [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>
        This research extends our previous work [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] in which a preliminary version of impact projection
conceptualization was developed and evaluated by decision maker specialists. The results showed a
need for more expressiveness in the conceptual model. The present work extends the conceptualization,
focus on the unified foundational ontology (UFO), a top-level ontology based on philosophic and
cognitive theories [
        <xref ref-type="bibr" rid="ref12 ref13 ref14">12-14</xref>
        ].
      </p>
      <p>The main contribution of this paper is the OntoImpact*. It is an ontology, with new theoretical
discussions on its semantic expressiveness. This ontology comprises concepts from several perspectives
related to decision impact, and it is organized in five modules: decision agents and domain
characteristics; collaboration; process and activities; the structural elements; and impact details.</p>
      <p>In practice, OntoImpact* is intended to form the basis to analyze a set of complex decisions from
the perspective of their impacts, in a deep way. This ontology plays the role to externalize the concepts
and its relations, able to influence decision analysts on their analysis, especially the decisions classified
as naturalistic decision making (NDM). In this paper, we present the ontology`s development process,
highlighting the concepts, its origins, relationships, and the semantic improved by UFO.</p>
      <p>The paper is organized as follows: Section 2 presents fundamental concepts regarding the impact
projection of complex decisions and related work; Section 3 presents OntoImpact*; Section 4 analyses
OntoImpact*; and Section 5 concludes the paper and highlights future directions.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Relation Between Impact Projection and Complex Decision-Making</title>
      <p>
        An impact is a measure of the tangible and intangible consequences. Project impacts involves
making predictions of potential future outcomes [28]. It is possible to find works in the literature that
discuss the impact of a decision in the planning phase of the decision process [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ] and Table 1 shows
examples. However, most research in this area does not provide the details of how to effectively project
an impact in practice, and especially the impacts of complex decisions. Most prior research deals with
subjectively designed impacts that are intrinsic to the decision maker's experience and their mental
correlations [34]. According to [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], the mental representations that are involved in dynamic systems
and exercised are inadequate. The so-called mental models, intended to attempt to mentally replicate
the relationships structure of a complex system, play an important role in the decision-maker's
orientation. However, it is difficult to ensure whether the externalized verbally or diagrammatically
mental model corresponds exactly to the existent mental model in the individual human mind.
      </p>
      <p>
        The decision support and impact projection approaches found in the literature include smart choice
[
        <xref ref-type="bibr" rid="ref19">19</xref>
        ] situation assessment [
        <xref ref-type="bibr" rid="ref26">26</xref>
        ], RPD and its variations [
        <xref ref-type="bibr" rid="ref21">21</xref>
        ], the dynamic model of situational cognition
[33], decision making using stairs [32, 35], decision trees [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], decision ontology [29] and extended IBIS
[
        <xref ref-type="bibr" rid="ref1 ref20">1, 20</xref>
        ] (Table 1). They are classified as normative or descriptive approaches (like RPD [27]), however,
for this paper discussion, all of them can express ideas and/or follow-steps to support complex decision
making. Some of them discuss the complete cycle of decision management and most of them treat, in
some way, the impacts of complex decisions on other decisions or in the environment.
      </p>
      <p>Decision impacts are considered in different ways in seven of eight approaches verified. The
decision-making approaches in Table 1 support impact discussion. Despite this, little work has been
done on systematizing the impacts projection of complex decisions still in the planning phase of the
Technology
✔
✔
✔
decision process, considering the cognitive aspects of the decision-makers involved and facing lack or
ambiguous information about the decision.</p>
      <p>
        In view of these considerations, we propose a formal conceptualization for the impact projection of
complex decisions, based on the characterization elements mentioned above and on the existing
understanding of impact projection. This conceptualization is represented in the form of OntoImpact*,
an ontology based on UFO [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ], which is presented below. This ontology is a way to consolidate aspects
of scientific, engineering, and humanistic (that are the elements that support a problem-solving),
representing the elements involved on the impact project of complex decisions. Mainly, OntoImpact*
aims to provide a conceptual structure to support decision makers on the applicability of their cognitive
elements on the complex decision understanding and impact projection.
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. OntoImpact*: An Impact Projection Ontology Based on UFO</title>
      <p>
        An ontology represents an abstraction of reality and explicit a shared conceptualization [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. This
paper presents and discusses OntoImpact* that is an extension of OntoImpact [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. OntoImpact* is an
ontology developed based on naturalistic decision making (NDM) fundamentals. Its structure followed
the SABiO method [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], and the competence questions applied to discover the OntoImpact concepts
were well discussed in [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. OntoImpact* is a conceptual structural related to complex decision impact
projection, able to optimize decision results, identify interdependencies and conflicts, organize impact
actions, identify potential decision execution problems, and specify markers for monitoring the progress
of decisions impacts.
      </p>
      <p>
        OntoImpact* involves the search for existing ontologies related to domain and scope that were
established in the previous steps of development of this ontology. Two proposals of interest for reuse
were found in the development of OntoImpact*: the knowledge-intensive process ontology (KIPO) [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]
and OntoEmerge, a supporting ontology for an emergency plan [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. The decision to reuse these
proposals was based on a semantic evaluation of the constructs of these ontologies in relation to the
attributes characterizing the complex decision and projection of impacts [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. The notation used to
present OntoImpact* is the same applied in KIPO [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], based on UML class diagrams. To support the
definition of the structure of OntoImpact*, we analyzed the concepts involved and organized them into
five groups.
3.1.
      </p>
    </sec>
    <sec id="sec-4">
      <title>Decision agents and domain characteristics (AC)</title>
      <p>The cognitive aspects and competencies of decision makers related to impact projection can be seen
in Figure 1. The impact projection for a complex decision involves several agents that may be specialists
or decision makers, with specific backgrounds and rationales.
3.2.</p>
    </sec>
    <sec id="sec-5">
      <title>Collaboration to Support Impact Projection (Collab)</title>
      <p>Collaboration is an important aspect to improve exchange and development of knowledge. In impact
projection of complex decision, it is a determining factor in the analysis, discovery, and implementation
of new tasks. In the domain modelled by OntoImpact*, socialization is a central interaction that permits
discussion and analysis of the main concepts, such as decision alternatives, the decision scenario, and
impacts. Figure 2 presents the Collab, providing a shared understanding of how collaboration can
improve impact projection of complex decisions.</p>
      <p>The decision maker group is composed of decision makers who socialize to discuss the actions
inherent in the impact projection activity. It is the role of the decision-maker to analyze the impacts of
socialization and to use the available information resources to support the impact projection activities
of the decision.
3.3.</p>
    </sec>
    <sec id="sec-6">
      <title>Complex Decision Process and Activities (PA)</title>
      <p>This module of OntoImpact* concerns the impact projection process and the elements that
constitute its activities. This module is concerned to understand the dynamic of complex decision and
for that discussed the influences of the different types of goals and the activities involved.</p>
    </sec>
    <sec id="sec-7">
      <title>Structural Elements of Impact Projection (IP)</title>
      <p>IP module (Figure 4) presents the structural elements of impact projection and the projection
mechanism to project an impact beyond collaborative actions. OntoImpact* present the relations
concerned to the concrete concepts like alternative and activities of impact projection, with cognitive
aspects.</p>
    </sec>
    <sec id="sec-8">
      <title>Impact Detailing (ID)</title>
      <p>The ID module describes the concept of an impact and its interactions in the context of complex
decisions. This module answered questions related to specificities of impact. For that, this module
discussed the relations between events, type of events, risk, and vulnerability for instance.</p>
    </sec>
    <sec id="sec-9">
      <title>4. Analysis of OntoImpact*</title>
      <p>OntoImpact* defines a domain of high complexity that involves the projected impacts of a complex
decision dynamics. To achieve results with less ambiguity in terms of the domain, and a better
understanding of the impacts of a complex decision and its associated types, this ontology was built
based on the methodology and competence questions discussed above, in addition to UFO fundamentals
represented into the stereotypes presented in the Figures 1-5.</p>
      <p>
        A UFO is divided into three layers: UFO-A, UFO-B and UFO-C. UFO-A defines the core of UFO,
and involves what we call endurants. UFO-B involves perdurants. The difference between these lies in
their behavior over time: endurants persist throughout time, such as people and buildings, while
perdurants are composed of temporal parts over a period of time. A perdurant can be understood as an
event, such as a process, a meeting or a football match. UFO-C involves social entities, such as agents,
and their behavioral. It is based on UFO-A and UFO-B. During the development of OntoImpact*, 23
constructs were used from UFO layers. Four constructs from UFO-A were used, based on stereotype,
and 19 constructs from UFO-B and UFO-C. The discussion below reflects the formalization of UFO
based on several reference elements [
        <xref ref-type="bibr" rid="ref12 ref13 ref14 ref15 ref17 ref18 ref5 ref8">8, 12-14, 15, 17, 18, 5</xref>
        ].
4.1.
      </p>
    </sec>
    <sec id="sec-10">
      <title>UFO-A applied on OntoImpact*</title>
      <p>
        UFO-A involves two categories: universals and particulars. Each particular is understood as an instance
of some universal and is also an entity that exists in reality with a unique identity. A universal is defined
as a set of characteristics that can be perceived in different individuals. Individuals can assume two
types: concrete particular and abstract particular. Concrete individual types are endurant, and are
categorized into three types: substantial, mode (or moment), and situation. A situation endurant is an
element that represents complex entities made up of several objects or other situations. In this way, the
current situation represents a portion of reality that can be understood as a whole [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ]. In Figure 5, it is
observed that the decision scenario, decision alternative, facts and evidence carry characteristics of the
UFO situation. This is because they are known as a portion of reality, bringing the realistic state of the
decision-making into scenarios, discussing the possible alternative solutions for decisions and
describing their reality, and also what is evidenced in the decision based on facts. The portions of reality
defined in Figure 5 form the impact projection defined in the PI module.
      </p>
      <p>
        The universals act as groups of individuals. There are two types of universals in the UFO-A category:
substantial and moment universals. The substantial universals are groups of substantial individuals, and
moment universals are groups of moment individuals. UFO-A defines [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ] that a substantial universal
foresee a specialization in sortal and mixin. The former deals with individuals who have the same
identity or principle, while mixin involves individuals with different identity principles.
      </p>
      <p>Sortal universals are classified into rigid, non-rigid or anti-rigid. Rigid sortals bring the rigid
semantic charge, that is, an individual who possesses it must continue to have it as long as it exists. For
an anti-rigid sortal, the properties of individuals do not necessarily apply to all their instances. The
nonrigid sortal is a universal that does not necessarily apply to at least one of its instances. A rigid sortal is
divided into four types: kind, subkind, collective and quantity. Kind is understood as a sorcery
substance, and its instances are complex natural and artificial functions, such as person, company, desk
or computer. The phase and role types are anti-rigid, where a role corresponds to an instantiation of an
event or relation participation.</p>
      <p>Figure 1 illustrates the concept of a kind in the form of an external agent. A group of decision makers
interacts with the outside agent, who is a kind. The external agent presents the same principle of identity
and may be another decision maker, expert, or certain objects that are able to provide new inputs to be
analyzed. OntoImpact* externalizes role-playing in the interaction between decision makers for the
action’s execution focused on the impact projection. Figure 2 shows the sender and receiver roles that
can be played by a decision maker.</p>
      <p>The construct category is a type of rigid mixin that is a universal able to join properties common to
different substance sortals, such as the resource concept shown in Figure 1. Here, a resource that is a
category can be date or time type. A roleMixin is an externally dependent anti-rigid nonsortal that
aggregates properties common to different roles. Figure 4 shows an example of a reused roleMixin from
the OntoEmerge ontology, which is the impacted environment concept.</p>
      <p>UFO-A also discusses the concepts of first order universal (FOU) and high order universal (HOU).
The former encompasses universals such as a person or animal, whose instances are individuals, while
the latter represents universals that have FOU instances. An example of HOU would be a type of tool,
for which the instances would be hammer and a sledgehammer. Figure 5 gives examples of HOUs, such
as a hazardous event, improvement event, neutral event, improvement situation, and impact. Figure 5
presents concepts defined as HOUs: the type of alternative, and the unknown, known, discarded and
chosen alternatives.
4.2.</p>
    </sec>
    <sec id="sec-11">
      <title>UFO-B applied on OntoImpact*</title>
      <p>
        The UFO-B is dedicated to investigating events (perdurants) and enduring individuals (endurants).
Endurants are characterized by being always the same individual, whereas events are composed of
temporal parts such as a conversation or a game. In [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ], events do not change over time since none of
their temporal parts maintains its identity over time.
      </p>
      <p>As events, they transform one situation (presented in UFO-A) into another, altering the state of the
represented domain. Events are entities that are existentially dependent on their participants, since they
would not exist if there was no participation by substantials. In UFO-B, events can be complex or
atomic. Complex events are composed of at least two other events, that are either atomic or complex.
In them, their parts add identity to the complex event. Atomic events are indivisible, according to the
domain semantics. Examples of the application of an atomic event construct can be observed in Figure
5 through the concepts of hazardous, improvement and neutral events. Each of these contributes to the
occurrence of a complex event that may be a damage, improvement, or neutral event. The occurrence
of events may enable the manifestation of dispositions in certain situations. In general, objects have
properties, some of which are defined as dispositions. A situation allows an event to occur when it
activates the mood that is manifested by this event. Figure 5 shows the occurrence of a situation and
disposition. Here, a vulnerability is a disposition manifested by the occurrence of an impact event. From
this figure, it can be observed that the identified risk, which is an arrangement, plays the role of
generating impact that is an event.
4.3.</p>
    </sec>
    <sec id="sec-12">
      <title>UFO-C applied on OntoImpact*</title>
      <p>UFO-C focuses on social concepts involving actions, agents, an intention, a plan, and a commitment.
UFO-C has a structure that is based on UFO-A and UFO-B.</p>
      <p>Agents in UFO-C can assume one of three types: physical, social or society. In the same way, objects
can be physical or social objects. Examples of social objects are organizational rules and norms. A
normative description is a type of social object that is able to define rules that are known by at least one
social agent. In Figure 3, the impact report is a normative misrepresentation that must be recognized by
the organization, in this case behaving as a social object.</p>
      <p>Agents are substantial types that may have modes called intentional moments. Each intentional
moment has a single proposition as its propositional content. An intention is a subtype of a mental
moment, which is a subtype of an intentional moment. From Figure 4, we can observe the occurrence
of a proposition assumed by a message; this communicative act has propositional content. When a
communicative interaction occurs, it is composed of a communicative act and a perception of this
communicative act. Figure 5 shows that agents perform a collaborative session through action
contributions, as exemplified through the concept of perception.</p>
      <p>Concepts such as belief, desire, and intention (BDI), as discussed in [31], are considered in UFO to
be types of mental moment and to inherit the characteristics of the intentional moment that is inherent
to each agent. A mental moment is an intrinsic moment that is existentially dependent on a particular
agent and is an inseparable part of the agent's mental state. From Figure 1, it can be observed that the
concepts of culture, experience, preconceptions, creativity, and feeling are mental moments assumed
by agents in the execution of their impact projection actions. In addition to these, agents also assume
BDI mental moments in the execution of actions.</p>
      <p>Actions and events are distinct elements in UFO-C. An action is caused by the intention of an agent,
whereas an event requires the participation of a substantial. It is worth noting that an event is not
initiated by participation. In UFO, an agent performs an action based on its commitment to fulfill an
intention, with the activity goal as its propositional content. This assumption is illustrated in the AC
module of OntoImpact* (Figure 1), in which an agent playing the decision-making role performs impact
projection activities based on an intent to achieve the objective of the activity. In an impact projection
for a complex decision, decision makers execute a projection activity, which is an action involved in
the impact projection process.</p>
      <p>An action may be complex or atomic. A complex action is composed of two or more participations,
unlike an atomic action. One type of complex action is interaction, which is composed of contributions
from different agents, for example in the dialogue between decision makers. An example of this
assertion is observed in Figure 2. For socialization to take place, the participation of a decision maker
group is required, composed of decision makers playing the roles of sender and receiver. Socialization
involves the semantics of the interaction concept.</p>
    </sec>
    <sec id="sec-13">
      <title>5. Conclusions and Future Perspectives</title>
      <p>OntoImpact* covers the relevant perspectives for a complete conceptualization of impact projection
for complex decisions, based on UFO. The main contribution is related to support decision makers into
their works tasks, specifically the one that involves decision impacts.</p>
      <p>
        Future work includes the evaluation of OntoImpact*, with special interest in analyzing its
completeness and usability to cover the main aspects of impact projection of complex decision. To
improve the collaborative session, we plan to develop a technology environment, based on
OntoImpact*, to support the impact projection of a complex decision. It is also a future work, improve
the OntoImpact* conceptualization through the Core Ontology on Decision Making [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ].
      </p>
    </sec>
    <sec id="sec-14">
      <title>6. Acknowledgements</title>
    </sec>
    <sec id="sec-15">
      <title>7. References</title>
      <p>This research was partially supported by the National Council for Scientific and Technological
Development (CNPQ) under grant # 308149/2015-7, and by Rio de Janeiro Research Support
Foundation (FAPERJ) under grant # E-26/202.876/2018 and # E-26/211.367/2019 (248406).
[27] Orasanu, J., Connolly, T.: The Reinvention of Decision Making. In: Klein, G.A., Orasanu, J.,
Calderwood, R., Zsambok, E. (eds.) Decision Making in Action: Models and Methods, pp. 3–20.</p>
      <p>Ablex Publishing Corporation, Norwood, New Jersey (1993)
[28] Pant, P. N. and Starbuck, W. H.: Innocents in the forest: Forecasting and research
methods. Journal of Management, 16: 433–460 (1990)
[29] Pereira, A.C.T.D., Santoro, F.M.: Cognitive Decision Making Process as Context Information. In:
Proceedings of the 15th IFIP WG8.3 International Conference on Decision Support Systems,
Lisboa (2010)
[30] Proctor, R.W., Zandt, T.V.: Human Factors in Simple and Complex Systems. Third edition. Taylor
&amp; Francis Group (2018). ISBN 9781315156811
[31] Rao, A. S., Georgeff, M. P.: Modeling rational agents within a BDI architecture. Second
International Conference on Principles of Knowledge Representation and Reasoning (KR’91), pp.
473–484. Morgan Kaufmann Publishers, Cambridge, MA, USA (1991)
[32] Rasmussen, J.: Information Processing and Human-Machine Interaction: An Approach to</p>
      <p>Cognitive Engineering. North-Holland, New York (1986)
[33] Shattuck, L.G., Miller, N.L.: Extending naturalistic decision making to complex organizations: A
dynamic model of situated cognition. Organization Studies 27, 989–1009 (2006)
[34] Shortland, N. D., Alison, L. J., Moran, J. M.: Conflict: How Soldiers Make Impossible Decisions.</p>
      <p>Oxford University Press, pp. 240, 2019.
[35] Stanton, N.A., Bessell, K.: Team decision making: Ethe structure of interdependences when
returning to periscope depth. In: International Conference on Naturalistic Decision Making.
Marseille, France (2013)</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <surname>Aldea</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bañares-Alcántara</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Skrzypczak</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          :
          <article-title>Managing information to support the decision making process</article-title>
          .
          <source>Journal of Information &amp; Knowledge Management</source>
          ,
          <volume>11</volume>
          (
          <issue>3</issue>
          ) (
          <year>2012</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <surname>Ayyub</surname>
            ,
            <given-names>B.M.</given-names>
          </string-name>
          :
          <article-title>Risk Analysis in Engineering and Economics</article-title>
          .
          <source>Second Edition</source>
          , Chapman &amp; Hall/CRC (
          <year>2014</year>
          ).
          <source>ISBN 1-58488-395-2</source>
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <surname>Chohra</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Madani</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          , Van der wal, C. N.:
          <article-title>Group Affect in Complex Decision-Making: Theory and Formalisms from Psychology</article-title>
          and Computer Science. Springer Nature, Switzerland.
          <source>ICCCI</source>
          <year>2018</year>
          , LNAI 11056, pp.
          <fpage>222</fpage>
          -
          <lpage>233</lpage>
          (
          <year>2018</year>
          ). https://doi.org/10.1007/978-3-
          <fpage>319</fpage>
          -98446-9_
          <fpage>21</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <given-names>dos Santos</given-names>
            <surname>França</surname>
          </string-name>
          ,
          <string-name>
            <surname>J. B.</surname>
          </string-name>
          , &amp; da Silva Borges,
          <string-name>
            <surname>M. R.</surname>
          </string-name>
          (
          <year>2022</year>
          ).
          <article-title>Towards an Ontology for Impact Projection of Complex Decisions</article-title>
          .
          <source>International Journal of Decision Support System Technology (IJDSST)</source>
          ,
          <volume>14</volume>
          (
          <issue>1</issue>
          ),
          <fpage>1</fpage>
          -
          <lpage>21</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <given-names>dos Santos</given-names>
            <surname>França</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. B.</given-names>
            ,
            <surname>Netto</surname>
          </string-name>
          ,
          <string-name>
            <surname>J. M.</surname>
          </string-name>
          ,
          <string-name>
            <given-names>Santo</given-names>
            <surname>Carvalho</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. do E.</given-names>
            ,
            <surname>Santoro</surname>
          </string-name>
          ,
          <string-name>
            <given-names>F. M.</given-names>
            ,
            <surname>Baião</surname>
          </string-name>
          ,
          <string-name>
            <given-names>F. A.</given-names>
            ,
            <surname>Pimentel</surname>
          </string-name>
          ,
          <string-name>
            <surname>M. G.</surname>
          </string-name>
          :
          <article-title>KIPO: The knowledge-intensive process ontology</article-title>
          .
          <source>Software and System Modeling</source>
          <volume>14</volume>
          (
          <issue>3</issue>
          ),
          <fpage>1127</fpage>
          -
          <lpage>1157</lpage>
          (
          <year>2015</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <surname>Doyle</surname>
            ,
            <given-names>J.K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Radzicki</surname>
            ,
            <given-names>M.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Trees</surname>
            ,
            <given-names>W.S.</given-names>
          </string-name>
          :
          <article-title>Measuring Change in mental models of complex dynamic systems</article-title>
          . In: Qudrat-Ullah,
          <string-name>
            <given-names>H.</given-names>
            ,
            <surname>Spector</surname>
          </string-name>
          <string-name>
            <given-names>J.M.</given-names>
            ,
            <surname>Davidsen</surname>
          </string-name>
          , P.I. (eds).
          <source>Complex Decision Making. Theory and Practice</source>
          , pp.
          <fpage>269</fpage>
          -
          <lpage>294</lpage>
          . Cambridge/Massachusetts, (
          <year>2008</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <surname>Falbo</surname>
            ,
            <given-names>R.A.</given-names>
          </string-name>
          :
          <article-title>SABiO: Systematic approach for building ontologies</article-title>
          . In Guizzardi, G.,
          <string-name>
            <surname>Pastor</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wand</surname>
          </string-name>
          , Y.,
          <string-name>
            <surname>de Cesare</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gailly</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lycett</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          , and
          <string-name>
            <surname>Partridge</surname>
          </string-name>
          , C. (eds.)
          <source>Proceedings of the 1st Joint Workshop ONTO.COM/ODISE on Ontologies in Conceptual Modeling and Information Systems Engineering</source>
          , Rio de Janeiro,
          <string-name>
            <surname>Brazil</surname>
          </string-name>
          (
          <year>2014</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Ferreira</surname>
            ,
            <given-names>M.I.G.B.</given-names>
          </string-name>
          :
          <article-title>Emergency Ontology in Support of the Generation Solutions of Emergency Plans Variable</article-title>
          . Postgraduate Program in Informatics, Mathematics Institute, Tércio Pacitti Institute of applications and Computational Research, Federal University of Rio de Janeiro. Rio de Janeiro, Brazil, (
          <year>2013</year>
          ) &lt;in Portuguese&gt;
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <surname>França</surname>
            ,
            <given-names>J.B.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Neiva</surname>
            ,
            <given-names>F.W.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dias</surname>
            ,
            <given-names>A.F.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Borges</surname>
            ,
            <given-names>M.R.S.:</given-names>
          </string-name>
          <article-title>Toward impact projection characterization of complex decisions</article-title>
          .
          <source>In: IEEE International Conference on Systems, Man, and Cybernetics</source>
          , Banff., vol.
          <volume>1</volume>
          (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <surname>França</surname>
            ,
            <given-names>J.B.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Neiva</surname>
            ,
            <given-names>F.W.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dias</surname>
            ,
            <given-names>A.F.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Borges</surname>
            ,
            <given-names>M.R.S.</given-names>
          </string-name>
          :
          <article-title>Towards projected impacts on emergency domains through a conceptual framework</article-title>
          .
          <source>In: International Conference on Information Systems for Crisis Response and Management</source>
          , Albi, France.
          <source>XIV International Conference on Information Systems for Crisis Response and Management</source>
          , (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <surname>Guarino</surname>
            ,
            <given-names>N.</given-names>
          </string-name>
          :
          <article-title>Formal ontology, conceptual analysis and knowledge representation</article-title>
          .
          <source>International Journal of Human and Computer Studies</source>
          <volume>43</volume>
          (
          <issue>5</issue>
          /6),
          <fpage>625</fpage>
          -
          <lpage>640</lpage>
          (
          <year>1995</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [12]
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          :
          <article-title>Ontological Foundations for Structural Conceptual Models</article-title>
          . Universal Press, The Netherlands (
          <year>2005</year>
          ).
          <source>ISBN 90-75176-81-3</source>
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [13]
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Falbo</surname>
            ,
            <given-names>R.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>R.S.S.:</given-names>
          </string-name>
          <article-title>Grounding software domain ontologies in the unified foundational ontology (UFO): The case of the ODE software process ontology</article-title>
          .
          <source>Anais do XI Workshop</source>
          Iberoamericano de Ambientes de Software e Engenharia de Requisitos, Recife, Brazil (
          <year>2008</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [14]
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Falbo</surname>
            ,
            <given-names>R.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>R.S.S.:</given-names>
          </string-name>
          <article-title>The importance of foundational ontology for domain ontology engineering: The case of software process domain</article-title>
          .
          <source>Revista IEEE América Latina</source>
          ,
          <volume>6</volume>
          ,
          <fpage>244</fpage>
          -
          <lpage>251</lpage>
          (
          <year>2008</year>
          ) &lt;In Portuguese&gt;
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          [15]
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>R.S.S.</given-names>
          </string-name>
          :
          <article-title>Agent-oriented constructivist knowledge management</article-title>
          .
          <source>PhD thesis</source>
          , University of Twente, The
          <string-name>
            <surname>Netherlands</surname>
          </string-name>
          (
          <year>2006</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          [16]
          <string-name>
            <surname>GUIZZARDI</surname>
          </string-name>
          ,
          <string-name>
            <surname>Renata</surname>
            <given-names>SS</given-names>
          </string-name>
          , et al.
          <article-title>A Core Ontology on Decision Making</article-title>
          . In: ONTOBRAS.
          <year>2020</year>
          . p.
          <fpage>9</fpage>
          -
          <lpage>21</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          [17]
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wagner</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          :
          <article-title>Some applications of a unified foundational ontology in business modeling</article-title>
          . In: Rosemann,
          <string-name>
            <given-names>M.</given-names>
            ,
            <surname>Green</surname>
          </string-name>
          , P. (eds.)
          <article-title>Ontologies and Business Systems Analysis</article-title>
          .
          <source>IDEA Publisher</source>
          (
          <year>2005</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          [18]
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wagner</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Falbo</surname>
            ,
            <given-names>R. A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Guizzardi</surname>
            ,
            <given-names>R.S.S.</given-names>
          </string-name>
          , and
          <string-name>
            <surname>Almeida</surname>
            ,
            <given-names>J.P.A.</given-names>
          </string-name>
          :
          <article-title>Towards Ontological Foundations for the Conceptual Modeling of Events</article-title>
          , in 32th International Conference,
          <string-name>
            <surname>ER</surname>
          </string-name>
          <year>2013</year>
          , pp.
          <fpage>327</fpage>
          -
          <lpage>341</lpage>
          , (
          <year>2013</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          [19]
          <string-name>
            <surname>Hammond</surname>
            ,
            <given-names>J.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Keeney</surname>
            ,
            <given-names>R.L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Raiffa</surname>
          </string-name>
          , H.:
          <article-title>Smart choices: A practical guide to making better life decisions</article-title>
          .
          <source>Broadway Books</source>
          , New York (
          <year>2002</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          [20]
          <string-name>
            <surname>Karakul</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Qudrat-Ullah</surname>
          </string-name>
          , H.:
          <article-title>How to improve dynamic decision making? Practice and promise</article-title>
          . In: Qudrat-Ullah,
          <string-name>
            <given-names>H.</given-names>
            ,
            <surname>Spector</surname>
          </string-name>
          <string-name>
            <given-names>J.M.</given-names>
            ,
            <surname>Davidsen</surname>
          </string-name>
          ,
          <string-name>
            <surname>P.I.</surname>
          </string-name>
          <article-title>(eds.) Complex Decision Making</article-title>
          .
          <source>Theory and Practice</source>
          , pp
          <fpage>3</fpage>
          -
          <lpage>24</lpage>
          . Cambridge/Massachusetts, (
          <year>2008</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          [21]
          <string-name>
            <surname>Klein</surname>
            ,
            <given-names>G.A.</given-names>
          </string-name>
          :
          <article-title>Recognition-primed decision (RPD) model of rapid decision making</article-title>
          . In: Klein,
          <string-name>
            <given-names>G.A.</given-names>
            ,
            <surname>Orasanu</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            ,
            <surname>Calderwood</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            ,
            <surname>Zsambok</surname>
          </string-name>
          , E. (eds.)
          <source>Decision Making in Action: Models and Methods</source>
          , pp.
          <fpage>138</fpage>
          -
          <lpage>147</lpage>
          . Ablex Publishing Corporation, Norwood, New Jersey (
          <year>1993</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          [22]
          <string-name>
            <surname>Klein</surname>
            ,
            <given-names>G.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Calderwood</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          :
          <article-title>Decision models: Some lessons from the field</article-title>
          .
          <source>IEEE Transactions on Systems, Man, and Cybernetics</source>
          <volume>21</volume>
          ,
          <fpage>1018</fpage>
          -
          <lpage>1026</lpage>
          (
          <year>1991</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref23">
        <mixed-citation>
          [23]
          <string-name>
            <surname>Klein</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Calderwood</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Clinton-Cirocco</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Rapid decision making on the fire ground</article-title>
          .
          <source>Proceedings of the Human Factors Society</source>
          <volume>1</volume>
          ,
          <fpage>576</fpage>
          -
          <lpage>580</lpage>
          (
          <year>1986</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref24">
        <mixed-citation>
          [24]
          <string-name>
            <surname>Klein</surname>
            ,
            <given-names>G.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Orasanu</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Calderwood</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zsambok</surname>
          </string-name>
          , E. (eds.):
          <source>Decision Making in Action: Models and Methods</source>
          , pp.
          <fpage>138</fpage>
          -
          <lpage>147</lpage>
          . Ablex Publishing Corporation, Norwood, New Jersey (
          <year>1993</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref25">
        <mixed-citation>
          [25]
          <string-name>
            <surname>Mosier</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ficher</surname>
            ,
            <given-names>U.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hoffman</surname>
            ,
            <given-names>R. R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Klein</surname>
          </string-name>
          , G.:
          <article-title>Expertise Professional Judments and “Naturalistic Decision Making”</article-title>
          . In K. Ericsson,
          <string-name>
            <given-names>R.</given-names>
            <surname>Hoffman</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Kozbelt</surname>
          </string-name>
          , &amp; A.
          <string-name>
            <surname>Williams</surname>
          </string-name>
          (Eds.),
          <source>The Cambridge Handbook of Expertise and Expert Performance</source>
          (Cambridge Handbooks in Psychology, pp.
          <fpage>597</fpage>
          -
          <lpage>615</lpage>
          ),
          <year>2018</year>
          . Cambridge: Cambridge University Press. doi:
          <volume>10</volume>
          .1017/9781316480748.031
        </mixed-citation>
      </ref>
      <ref id="ref26">
        <mixed-citation>
          [26]
          <string-name>
            <surname>Noble</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          :
          <article-title>Application of a Theory of Cognition to Situation Assessment</article-title>
          . Engineering Research Associates, Vienna, VA (
          <year>1989</year>
          )
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>