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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <issn pub-type="ppub">1613-0073</issn>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Technology for Synergistic Solutions Co-Creation Based on Multi-Agents' Diversities Interaction</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Tetyana Sergeyeva</string-name>
          <email>tv_sergeyeva@icloud.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sergiy Bronin</string-name>
          <email>Sergiy.Bronin@knu.ua</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Tadej Glazar</string-name>
          <email>tadej.glazar@fa.uni-lj.si</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Workshop</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>National Technical University “Kharkiv Polytechnic Institute” 2 Kyrpychova Str.</institution>
          ,
          <addr-line>Kharkiv, 61002</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Taras Shevchenko National University of Kyiv</institution>
          ,
          <addr-line>60 Volodymyrska Str., Kyiv, 01033</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Ljubljana, Faculty of architecture</institution>
          ,
          <addr-line>Zoisova 12, 1000 Ljubljana</addr-line>
          ,
          <country country="SI">Slovenia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <fpage>20</fpage>
      <lpage>21</lpage>
      <abstract>
        <p>When developing smart technology or devices, used whether in manufacturing, retail, health or other enterprises to create an efficient business, smart home or Internet of Things, it is necessary providing constructive feedback from the users. In addition to already known practice, an innovative approach is proposed: at the initial/early stages of developmental process the designers, developers, manufacturers, users, and stakeholders are simultaneously involved in the co-creation of multidisciplinary solutions. This approach allows initially using competencies and taking into account capacity, interests and expectations of all participants in order to make truly synergistic solutions, thereby optimizing the entire process and eliminating unnecessary steps and time consumption. For this purpose, a scientifically based technology for synergistic solutions co-creation by vast diversity of agents is proposed, which involves the identification of a system-forming factor, a structure-content pattern and mechanisms of cocreation.</p>
      </abstract>
      <kwd-group>
        <kwd>modelling</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>co-creation technology, eco-humanistic approach, HI-AI agents’ interaction, digital techniques
and tools support</p>
    </sec>
    <sec id="sec-2">
      <title>1. Introduction</title>
      <p>
        Increasingly, when developing smart technologies or devices in manufacturing, retail, healthcare,
business or everyday life, be it a smart home or Internet of Things (IoT) [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], there is a need to provide
constructive feedback from users. Traditionally, Living Laboratory (LL) technology [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] is used for this
purpose. In our opinion, for all its effectiveness, LL has limitations due to the behaviorist model [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] on
which it is based. LL makes it possible to observe user’s behavior and provide its measurement
according to established criteria. Improved versions of LL technology include users-developers
      </p>
      <p>2023 Copyright for this paper by its authors.
CEUR</p>
      <p>ceur-ws.org
discussions and statistical processing of the data obtained. However, at the current level of development
of technologies, both digital and communication, the possibilities for interaction between the users and
developers have significantly expanded. It is believed that today there are technological and
methodological prerequisites for ensuring interaction in the format of co-creation of innovative
solutions by multi-agents, based on multi-actor/sector/disciplinary interaction. Moreover, with the rapid
development of artificial intelligence (AI), the time has come for synergistic human-artificial intelligence
agents’ interaction.</p>
      <p>The objective of this paper is description of innovative digitally supported model for providing
cocreation of synergistic solutions by multi-agents based on their diversities.</p>
    </sec>
    <sec id="sec-3">
      <title>2. Analysis of recent research and publications</title>
      <p>
        An analysis of publications in the target area shows that while the importance of со-creativity is
recognized [
        <xref ref-type="bibr" rid="ref4 ref5">4,5</xref>
        ], there are practically no specific developments built on truly scientifically based
principles of organizing multi-agent synergistic interaction. It is believed that this is explained by the
complexity of multi-actor/sector/disciplinary interaction, which requires an understanding of its
system-forming factor, content-structure pattern and mechanisms.
      </p>
      <p>
        There is also a fundamental reason associated with a change in the scientific paradigm [
        <xref ref-type="bibr" rid="ref6 ref7">6,7</xref>
        ], the
reorientation of target science to impact-oriented with the introduction of human-centered criteria (see
Figure 1) of social, moral, economic, and environmental safety. This paradigm changes the entry point
into the problem of multi-agent interaction, since each agent is considered as a holistic person [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], and
not just as the owner of a set of professional qualities and general competencies. This, in turn, changes
the strategy, methodology and technology of co-creation [
        <xref ref-type="bibr" rid="ref10 ref9">9,10</xref>
        ]. It is believed that solution to both
scientific and practical problems lie in the plane of eco-humanistic [
        <xref ref-type="bibr" rid="ref11 ref12">11,12</xref>
        ], metacognitive [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ] and
multidisciplinary [
        <xref ref-type="bibr" rid="ref14 ref15">14, 15</xref>
        ] approaches used in the context of a new research paradigm that provides
multi-actor/sectoral/disciplinary interaction in order to develop synergistic solutions.
      </p>
    </sec>
    <sec id="sec-4">
      <title>3. Approach, research methods and methodology</title>
      <p>It is proposed to start the process by organizing synergistic interaction between designers,
developers, manufacturers, users and stakeholders. This allows optimizing the process due to the initial
strategic orientation towards the ultimate goal, ensuring the organization of actions into a system where
the result of the previous action becomes the way to carry out the subsequent one. Optimization can be
achieved not only through the initial organization of interaction, but also through the initial use of the
existing resource potential of multidisciplinary competencies, taking into account the capabilities,
interests and expectations of all participants to make truly synergistic multi-agent/sectoral/disciplinary
solutions, thereby optimizing the entire process and eliminating unnecessary steps and time wasted.</p>
      <p>The implementation of the proposed strategy is possible on the basis of scientifically proven
technology for the co-creation of synergistic solutions, which is based on an eco-humanistic model of
multi-agent interaction, in which diversity is used as a driving force for mutual development. Note that
the proposed approach can be used both for human agents and for the interaction of human intelligence
(HI) and artificial intelligence (AI) agents. HI - AI synergies can become a factor mitigating the risk of
confrontation that is feared due to the intensive uncontrolled development of AI.</p>
      <p>The essence of the eco-humanistic approach is that with the synergistic human-environment
interaction, their mutual development occurs. Its efficiency depends on the capacity of the initial
sensecognitive orientation, which sets the intensity and amplitude of mutual development. Human
ambivalent desire for preservation and development is realized through the balance of personal/social
senses, resources and conditions. The process of human agent development occurs both internally (via
consciousness with its cognitive, communicative and regulatory functions) and externally (via
behavior), which are interconnected according to the feedback principle and have an isomorphic
structure, including the action with its subject, object and conditions. All components of internal and
external activity, depending on the type of interaction, can fall into both the zone of influence and the
zone of dependence. When organizing efficient synergistic interaction, it is necessary to take into
account the holistic system, with all its interrelations and interdependencies, in order to purposefully
influence the process of co-creation, where the individual and socially developed experience is reflected
in the objects and connections of human agent neural networks. HI - AI synergistic interaction is
possible if the principle of organizing HI agent neural networks is integrated into AI systems with deep
learning on the principle of organizing neural networks based on statistical analysis.</p>
      <p>Multi-agent interaction aimed at co-creation of synergistic solutions becomes the driving force of
co-development, which in turn requires an understanding of its nature, patterns and mechanisms. In
order to model, simulate, pilot, control, measure, duplicate, disseminate and sustainably develop the
process of co-creation, it is necessary to identify its system-forming factor, structure-content pattern
(symbiosis of meaningful structure and structured content) and mechanisms. Figure 2 shows the
structure-content pattern of multi-actor/sector/disciplinary co-creation, including: a) activity (A) –
cocreation of innovative synergetic solutions; b) actors (S) – agents in a multi-actor/sector/disciplinary
alliance including researchers, developers, designers, practitioners, users and stakeholders; c) object of
activity (O) – multi-agent synergetic solutions; d) conditions of activity (C) – the possibility of making
multi-agent synergistic solutions depending on actual state, functions, situations and circumstances of
the environment that simultaneously is developing and being developed.</p>
    </sec>
    <sec id="sec-5">
      <title>4. Research Results</title>
      <p>The eco-humanistic model allows simulating the existential process of multi-agent synergetic
interaction in order to develop an efficient digital support system at each scientifically based stage of
multi-actor/sector/disciplinary solutions co-creation: 1) strategic sense-cognitive orientation of agents
in the target area/product; 2) developing an ideal and real synergetic profile of multi-agent solutions; 3)
mapping multi-agent synergetic solutions to an interactive map of the current state and
changes/development of the target area/product; 4) system multiscale expert measurement of
multiagent synergetic solutions potential efficiency; 5) planning the implementation of multi-agent
synergetic solutions with the definition of specific deadlines and performers; 6) piloting and creating
patterns of multi-agent synergetic solutions; 7) efficiency assessment, adjustment and creation of
demonstrations/lighthouses of multi-agent synergetic solutions in the target area/product.</p>
      <p>The set of digitized tools (see Figure 3) includes: 1) the interactive database “OmniBase”, which
self-develops in the process of multi-agent interaction; 2) technology for overlaying profiles of
multiagent solutions; 3) an interactive map of the current state and changes in the target area/product based
on adopted multi-agent synergetic solutions; 4) interactive continuum of multi-agent synergetic
solutions implementation; 5) an interactive multiscale system for measuring the efficiency of
multiagent synergetic solutions; 6) technology for piloting and creating demonstrators of multi-agent
synergetic solutions for specific target areas/products 7) technology for creating an Atlas of interactive
maps reflecting dynamics of target areas/products development as sustainable development lighthouse.</p>
      <p>Let's consider the digitized tools in the logic of the co-creation stages. The biggest problem of
multiactor/sector/disciplinary interaction is the time-consuming and labor-intensive search for a “common
language,” which is explained by multi-agents’ cognitive schemes diversities, both in content and level
of development. Eco-humanistic technology allows providing effecient synergistic interaction of
multiagents via development of their cognitive schemes, which determine the development of neural network
objects and links in the process of solutions co-creation. Such science-based development is supported
by a digital tool that sets a strategic sense-cognitive orientation for the eco-humanistic development of
solutions. “OmniBase” (see Figure 4) represents an interactive cognitive resource for orientation in the
target area/product based on a generalization of socially developed experience. It includes:
(1) a search system for solutions that provides information upon request in the format of the
structure of the co-creation process: (O) objects of co-creation: solutions in correlation with their
potential efficiency, objects and agents; (S) multi-agent subjects of co-creation: experts – practitioners
– stakeholders related to the target area of HR; (E) conditions of activity, specified by type, function
and circumstances;</p>
      <p>(2) a compendium of information relevant to the target field/product, presented in various formats
(text, graphics, audio, video) in the form of articles, reports, case studies, interviews, precedents relevant
to the field and structured according to the logic of search criteria.</p>
      <p>(3) Co-creation involves true inclusivity, rather than formal or passive participation in making
discussion or surveys. Such co-creation is possible only on the basis of the motivated activity of
all agents. The gradual development of such motivation is ensured within the framework of
scientifically based eco-humanistic technology through the integration of sense-cognitive
orientation into agent’s sense-cognitive scheme, which is reflected in the development of objects
and links of agent’s neural network.</p>
      <p>Such an initial strategic orientation determines the involvement of the agent, which determines the
efficiency of solutions and personal development as a co-creator followed by self-identification with
the decision made. The technology of engagement involves the following stages:</p>
      <p>(1) through the specific task of constructing an “Ideal Profile” of the target area/product, the
activities of multi-agents acquire not only a cognitive and sense orientation, but also involve them
personally in the process of co-creation. The agent becomes a co-creator of the solution, identifying
her/himself with it, which fuels personal motivation throughout the process of making and
implementing the solution;</p>
      <p>(2) through the task of constructing a “Real Profile” for making a realistic decision based on
detailed familiarization with the conditions of a given object, the development of critical thinking of
multi-agents occurs, which, in turn, develops both cognitive and sense resources that determine the
quality of the solutions themselves;</p>
      <p>(3) “Ideal Profiles” and “Real Profiles” are transformed into a “Synergetic Profile” based on the
original technology of superimposing sense-cognitive structures, which allows solving one of the most
difficult problems arising in collective decisions: the systematic integration of diverse solutions into a
holistic synergetic solution without losing the uniqueness of individual solutions. Innovative digital
technology allows the transformation of individualized profiles into synergistic ones, which enables the
identification and evaluation of solutions based on the relationships, competencies and needs of
multiagents. The profiles are shown in the Figure 5.</p>
      <p>Profiles reflect graphically: 1) an individual vision of multi-agents’ ideal solutions, obtained by
selecting solution directions from the basic OmniBase matrix through a query to the search engine
(“Ideal Profile”); 2) an individual vision of multi-agents real solutions, obtained by identifying the lines
remaining in the matrix after removing decisions that are irrelevant to the identified developmental
zones (“Real Profile”); 3) an integrated vision of multi-agent solutions, obtained by superimposing
individual real profiles “Synergetic Profile” to identify: a) congruence as the basis for making a
synergetic solution; c) diversity as the basis for discussions; 3) gaps as the basis for co-creation of a
synergetic solution. In this way, technology allows us to identify similarities, differences and lack of
solutions. The convergence of solutions in a synergistic profile allows to immediately evaluate,
implement and disseminate a multi-agent solution. Differences signal a possible problem that can be
efficiently resolved through cooperation. Gaps in the synergetic profile reveal the lack of solutions that
can be developed within the same co-creation technology, repeatedly following the algorithm. Namely:
resume the choice, but in relation to an object that has not received a solution. The iterative process will
fill the identified gaps and arrive at a final solution.</p>
      <p>
        The efficiency of multi-actor/sector/disciplinary solutions in the context of eco-humanistic
development is assessed by using a set of e-tools including a multiscale filter and a motivation matrix
(see Figure 6). Multi-dimension [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ] is characteristic of existential holistic processes, determining the
range of selection and evaluation criteria for the OmniBase search system as well as for evaluating
multi-agent synergetic solutions. Their multiscale dimension is carried out in a dynamic “living” system
of human-environment interaction and co-development.
      </p>
      <p>The “Evaluated Profile” reflects the experts' vision of the efficiency, relevance and performance of
solutions through multi-scale measurement with appropriate tools, including:</p>
      <p>
        (a) "Multiscale Filter" - an original tool based on the profile overlay technique, allowing multiscale
measurement of multi-agent solutions impact, efficiency, weight and performance;
(b) “Motivation Matrix” - an original tool based on the technique of superimposing profiles
reflecting the hierarchy of human needs - existential survival, quality and sense of life [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ].
      </p>
      <p>
        It is also measured: the efficiency of solving problems based on a formula that includes the
parameters of accuracy, speed and completeness; the complexity of sense cognitive schema based on
the profile overlay technique; professional, social and existential senses as well as meta-abilities
including meta-qualities proactivity, autonomy, objectivity, responsibility, flexibility, creativity and
empathy) based on original questionnaires. The obtained data is processed by statistical methods [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ],
including correlation [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ] and factor analysis [
        <xref ref-type="bibr" rid="ref20">20</xref>
        ], which determines relationships indicating possible
causes, verified during a scientific development experiment.
      </p>
    </sec>
    <sec id="sec-6">
      <title>5. Concluding remarks</title>
      <p>The creation of smart technological devices requires prompt feedback from users. To accomplish
this task, Living Laboratory (LL) technology is used, which has significantly expanded its original
functions of observation and direct data collection from users in a pilot experiment. Today LL are
actively used for cooperative decision making by researchers, developers, manufacturers, users and
stakeholders. However, the approaches used (discussions, questionnaires, teamwork, etc.) do not
provide truly synergistic solutions and do not use recent technological capacity available. As an
alternative, a scientifically grounded and experimentally tested innovative technology for multi-agent
co-creation of synergetic solutions is proposed. The technology is based on an eco-humanistic model
of multi-agent interaction, which uses diversity as a driving force. Defining a system-forming factor, a
structure-content pattern in which the content is structured, and the structure is meaningful, and the
mechanisms of interaction allows managing, simulating, piloting, measuring, multiplying,
disseminating and ensuring the sustainability of the co-creation process. This approach involves
designers, developers, manufacturers, users and stakeholders in its creation at the initial/early stages of
the product development process. This allows not only to use multi-actor/disciplinary competencies and
take into account the capabilities, interests and expectations of all participants to make truly synergistic
decisions, but also to optimize the entire process, eliminating unnecessary steps and time costs. This is
possible due to the creation of an ultimate strategic orientation, which allows organizing actions into a
system where the result of the previous action becomes the way to implement the subsequent one.</p>
      <p>The proposed innovative model of synergistic solutions co-creation without loss of multi-agent
diversity is supported by a system of digital technologies and tools developed in strict accordance with
scientifically based stages of development and decision-making: 1) creation of a strategic
sensecognitive orientation of multi-agents in the target area/product; 2) personal involvement of multi-agents
in the co-creation process through development of individual and synergetic solution profiles, based on
multi-agents’ competencies, integrated into their sence-cognitive structure and reflected in their neural
network; 3) specification of multi-agents’ understanding of changes causing transformation of a real
area/product based on their solutions; 4) expert assessment/multiscale measurement of the potential
efficiency of a multi-agent synergistic solution; 5) planning the implementation of a multi-agent
synergetic solution with defining deadlines and performers; 6) piloting and creating patterns of
multiagent synergetic solutions; 7) assessment of real efficiency, adjustment and creation of a
demonstrator/lighthouse of a multi-agent synergetic solution in the target area/product.</p>
      <p>A digitalized technology/tool has been developed to support each stage:1) the interactive database
“OmniBase”, which self-develops in the process of multi-agent interaction; 2) technology for
overlaying profiles of multi-agent solutions; 3) an interactive map of the current state and changes in
the target area/product based on adopted multi-agent synergetic solutions; 4) an interactive continuum
of multi-agent synergetic solutions implementation; 5) an interactive multiscale system for measuring
the efficiency of multi-agent synergetic solutions; 6) technology for piloting and creating demonstrators
of multi-agent synergetic solutions for specific target areas/products 7) technology for creating an Atlas
of interactive maps reflecting dynamics of target areas/products development as sustainable
development lighthouse. In perspective the eco-humanistic model can be used for providing synergistic
interaction of human and artificial intelligence agents to prevent risk of confrontation arising due to the
intensive uncontrolled development of AI.</p>
    </sec>
    <sec id="sec-7">
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