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        <p>This book of Proceedings contains the accepted papers of the rst International Workshop on Arti cial Intelligence and Cognition (AIC13). The workshop, held in Turin (Italy) on 3rd December 2013, has been co-located with the XIII International Conference of the Italian Association on Arti cial Intelligence. The scienti c motivation behind AIC13 resides on the growing impact that, in the last years, the collaboration between Cognitive Science and Arti cial Intelligence (AI) had for both the disciplines. In AI this partnership has driven to the realization of intelligent systems based on plausible models of human cognition. In turn, in cognitive science, the partnership allowed the development of cognitive models and architectures (based on information processing, on representations and their manipulation, etc.) providing greater understanding on human thinking.</p>
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      <p>In the paper "Controlling a General Purpose Service Robot By Means Of a
Cognitive Architecture" by Jordi-Ysard Puigbo, Albert Pumarola and Ricardo
Tellez, the authors present a humanoid service robot equipped with a set of
simple action skills including navigating, grasping, recognizing objects or people,
etc. The robot has to complete a voice command in natural language that
encodes a complex task. To decide which of those skills should be activated and in
which sequence the SOAR cognitive architecture has been used. SOAR acts as
a reasoner that selects the current action the robot must do, moving it towards
the goal. The architecture allows to include new goals by just adding new skills.</p>
      <p>In the paper "Towards a Cognitive Architecture for Music Perception" by
Antonio Chella, the author presents a framework of a cognitive architecture for
music perception. The architecture takes into account many relationships
between vision and music perception and its focus resides in the intermediate area
between the subsymbolic and the linguistic areas, based on conceptual spaces.
Also, a conceptual space for the perception of notes and chords is discussed, and
a focus of attention mechanism scanning the conceptual space is outlined.</p>
      <p>In the paper "Typicality-Based Inference by Plugging Conceptual Spaces Into
Ontologies" by Leo Ghignone, Antonio Lieto and Daniele P. Radicioni the
authors propose a cognitively inspired system for the representation of conceptual
information in an ontology-based environment. The authors present a system
designed to provide a twofold view on the same arti cial concept combining a
classic symbolic component (grounded on a formal ontology) with a
typicalitybased one (grounded on the Conceptual Spaces framework). The implemented
system has been tested in a pilot experimentation regarding the classi cation
task of linguistic stimuli.</p>
      <p>In the paper "Introducing Sensory-motor Apparatus in Neuropsychological
Modelization" by Onofrio Gigliotta, Paolo Bartolomeo and Orazio Miglino, the
authors present arti cial embodied neural agents equipped with a pan/tilt
camera, provided with di erent neural and motor capabilities, to solve a well known
neuropsychological test: the cancellation task. The paper shows that
embodied agents provided with additional motor capabilities (a zooming motor)
outperform simple pan/tilt agents even when controlled by more complex neural
controllers.</p>
      <p>In the paper "How A ordances can Rule the (Computational) World" by
Alice Ruggeri and Luigi Di Caro, the authors propose the idea of integrating the
concept of a ordance within the ontology based representations. The authors
propose to extend the idea of ontologies taking into account the subjectivity of
the agents that are involved in the interaction with an external environment.
Instead of duplicating objects, according to the interaction, the ontological
representations should change their aspects, tting the speci c situations that take
place. The authors suggest that this approach can be used in di erent domains
from Natural Language Processing techniques and Ontology Alignment to User
Modeling.</p>
      <p>In the paper "Latent Semantic Analysis as Method for Automatic Question
Scoring" by David Tobinski and Oliver Kraft, the authors discuss the rating
of one item taken from an exam using Latent Semantic Analysis (LSA). It is
attempted to use documents in a corpus as assessment criteria and to project
student answers as pseudo-documents into the semantic space. The paper shows
that as long as each document is su ciently distinct from each other, it is possible
to use LSA to rate open questions.</p>
      <p>In the paper "Higher-order Logic Description of MDPs to Support
Metacognition in Arti cial Agents" by Roberto Pirrone, Vincenzo Cannella and
Antonio Chella, the authors propose a formalism to represent factored MDPs in
higher- order logic. This work proposes a mixed representation that combines
both numerical and propositional formalism to describe Algebraic Decision
Diagrams (ADDs) using rst-, second- and third-order logic. In this way, the MDP
description and the planning processes can be managed in a more abstract
manner. The presented formalism allows manipulating structures, which describe
entire MDP classes rather than a speci c process.</p>
      <p>In the paper Dual Aspects of Abduction and Induction by Flavio Zelazek, the
author proposes a new characterization of abduction and induction based on the
idea that the various aspects of the two kinds of inference rest on the essential
features of increment of comprehension and extension of the terms involved.
These two essential features are in a reciprocal relation of duality, whence the
highlighting of the dual aspects of abduction and deduction.</p>
      <p>In the paper "Plasticity and Robotics" by Martin Flament Fultot, the author
focuses on the link between robotic systems and living systems, and sustains
that behavioural plasticity constitutes a crucial property that robots must share
with living beings. The paper presents a classi cation of the di erent aspects
of plasticity that can contribute to a global behavioral plasticity in robotic and
living systems.</p>
      <p>In the paper "Characterising Ctations in Scholarly Articles: an Experiment"
by Paolo Ciancarini, Angelo Di Iorio, Andrea Giovanni Nuzzolese, Silvio
Peroni and Fabio Vitali, the authors present some experiments in letting humans
annotate citations according to the CiTO ontology, a OWL-based ontology for
describing the nature of citations, and compare the performance of di erent
users.</p>
      <p>In the paper "A Meta-Theory for Knowledge Representation" by Janos Sarbo,
the author faces the problem of representation of meaningful interpretations in
AI. He sustains that a process model of cognitive activities can be derived from
the Peircean theory of categories, and that this model may function as a
metatheory for knowledge representation, by virtue of the fundamental nature of
categories.</p>
      <p>In the paper "Linguistic A ordances: Making Sense of Word Senses" by Alice
Ruggeri and Luigi Di Caro, the authors focus the attention on the roles of word
senses in standard Natural Language Understanding tasks. They propose the
concept of linguistic a ordances (i.e., combinations of objects properties that
are involved in speci c actions and that help the comprehension of the whole
scene being described), and argue that similar verbs involving similar properties
of the arguments may refer to comparable mental scenes.</p>
      <p>In the paper "Towards a Formalization of Mental Model Reasoning for
Syllogistic Fragments" by Yutaro Sugimoto, Yuri Sato and Shigeyuki Nakayama, the
authors consider the recent developments in implementations of mental
models theory, and formulate a mental model of reasoning for syllogistic fragments
satisfying the formal requirements of mental model de nition.</p>
      <p>Acknowledgements
We would like to thank the keynote speakers of the workshop: Prof. Christian
Freksa (University of Bremen, Germany) and Prof. Orazio Miglino (University
of Napoli Federico II and ISTC-CNR, Italy) for accepting our invitation.</p>
      <p>We sincerely thank the Interaction Models Group of the University of Turin,
Italy (http://www.di.unito.it/ gull/), the Italian Association for Arti cial
Intelligence (AI*IA, http://www.aixia.it/), and the Italian Association of Cognitive
Sciences (AISC, http://www.aisc-net.org) for their support in the organization
of the workshop, and also the Rosselli Foundation (Fondazione Rosselli), Turin,
Italy, for its logistic support.</p>
      <p>We would like also to thank the members of the Scienti c Committee for
their valuable work during the reviewing process and the additional reviewers.</p>
      <p>We would like to dedicate this book of proceedings to the Prof. Leonardo
Lesmo, unfortunately no longer among us, that strongly encouraged and helped
us in all the phases of the organization of this workshop.</p>
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      <title>Program Committee</title>
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      <title>Additional Reviewers</title>
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        <title>Cristina Battaglino Manuela Sanguinetti</title>
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        <title>University of Torino, Italy University of Trento, Italy</title>
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        <title>University of Torino, Italy</title>
        <p>ISTC-CNR, Italy
ISTC-CNR, Italy
University La Sapienza, Italy
Carnegie Mellon University, USA
LOA-ISTC, CNR, Italy
University of Genova, Italyl
University La Sapienza, Italy
University of Palermo and ICAR-CNR, Italy
ISTC-CNR, Italy, and LIPN University
Paris13CNRS, France
University of Napoli Federico II , Italy
University of Helsinki, Finland
University of Quebec a Montreal, Canada
University of Torino, Italy
School of Advanced Studies on Theoretical
Methodologies of Physics, Italy
University of Torino, Italy
University of Napoli Federico II, Italy
Carnegie Mellon University, USA
ISTC-CNR, Italy
University of Messina, Italy
University of Messina, Italy
University of Turin, Italy
Orebro University, Sweden
University of Palermo, Italy
University of Torino, Italy</p>
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