=Paper= {{Paper |id=Vol-1510/preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-1510/preface.pdf |volume=Vol-1510 }} ==None== https://ceur-ws.org/Vol-1510/preface.pdf
                                       Preface

This book of Proceedings contains the accepted papers of the AIC 2015 – the
International Workshop on Artificial Intelligence and Cognition, held in Turin (Italy) on
September 28th and 29th, 2015. AIC workshops aim at fostering the collaboration
between the researchers coming from the fields of computer science, philosophy,
engineering, psychology, neurosciences etc. and working at the intersection of the
Cognitive Science and Artificial Intelligence (AI) communities.

AIC workshops (Lieto and Cruciani 2013; Lieto, Radicioni and Cruciani, 2014) have
produced, in the past years, a recognized level of discussion in Europe on the cross-
border themes between AI and Cognitive Science and selected and expanded versions
of their scientific papers have been published in dedicated special issues on
international journals such as Connection Science and Cognitive Systems Research
(edited by Lieto and Cruciani (2015), and Lieto and Radicioni (2016), respectively).

AIC 2015 has been made possible thanks to the “Fondazione Ricerca e Talenti” (http://
www.ricercaetalenti.it) of the University of Turin that has fully sponsored the whole event.
We would like to thank them for their financial and organizational support.
Also we are grateful to the members of the Scientific Program Committee for their
valuable work. Finally, thanks should be given to our wonderful student volunteers for
their help in many practical issues.

In this workshop proceedings appear 2 abstracts of the talks provided by the keynote
speakers Aldo Gangemi and Amanda J. Sharkey and 13 peer reviewed papers accepted
by the Program Committee Members through a process of peer-review.

Specifically the 13 papers were selected out of 21 submissions coming from researchers
of 16 different countries from all the continents.

In the following, a short introduction to the content of the volume is presented.

In the paper “Cognitive Programming”, by Loizos Michael, Antonis Kakas, Rob Miller and
Gyorgy Turan, the authors point out some foundational issues regarding the design of
cognitive systems and propose a novel methodological approach for human-computer
interaction based on what they call “cognitive programming” paradigm.

In the paper “Towards a Visual Remote Associates Test and its Computational Solver”,
by Ana-Maria Olteteanu, Bibek Gautam and Zoe Falomir, the authors describe a
computational solver for a visual version of the Remote Associate Test (RAT, a test used
for measuring creativity in humans) and present the result of an evaluation done w.r.t.
human responses.
The paper “Modeling the Creation and Development of Cause-Effect Pairs for
Explanation Generation in a Cognitive Architecture”, by John Licato, Nick Marton, Ron
Sun and Selmer Bringsjord presents the rationale for modelling the learning of cause-
effects explanations in the CLARION cognitive architecture by using, as reference point,
a Piaget's experiment introduced to understand how children generate explanations.
The paper “A cognitive view of relevant implications”, by Claudio Masolo and Daniele
Porello, presents an interesting link between Relevance Logic and Conceptual spaces
and It provides a cognitive view and formalization of relevance implication.

In the paper “Information-Theoretic Segmentation of Natural Language”, by Sascha
Griffiths, Mariano Mora McGinity, Jamie Forth, Matthew Purver and Geraint A. Wiggins.,
the authors extend to natural language a statistical model originally devised in the
domain of music perception and cognition; in particular, the authors adopt a statistical
(information-theoretic) learning approach on sequential data.

In the paper “Pattern Recognition: A Foundational Approach” by Agnese Augello,
Salvatore Gaglio, Gianluigi Oliveri and Giovanni Pilato, the authors discuss some
foundational issues regarding the “patterns problem” and propose a three layer
architectures as a suitable solution for pattern understanding.

In the paper “World Modeling for Tabletop Object Construction”, by Arda Inceoglu,
Melodi Deniz Ozturk, Mustafa Ersen and Sanem Sariel the authors dicuss the problem
of scene recognition in a robotic environment and propose a framework not relying only
on perceptual factors but also relying on a knowledge updating process for their scene
recognition approach.

The paper “A Network-based Communication Platform for a Cognitive Computer”, by
Mostafa W. Numan, Jesse Frost, Braden J. Phillips and Michael Liebelt, presents a
novel hardware-based approach for the design of cognitive computer based on an
energy efficient approach for computation with a parallel production system.

In the paper “Developing Fuzzy Cognitive Maps with Self Organizing Maps”, by Marcel
Wehrle, Edy Portmann, Alex Denzler and Andreas Meier, the propose the combination of
SOM and FCM in retrieving the semantic structure of web documents.

In the paper “Property-based semantic similarity: what counts the most?”, by Silvia
Likavec and Federica Cena, the authors discuss the problem of conceptual similarity in
ontologies by exploiting the Tversky-distance and by pointing out the importance of
weighting the features (the object properties in ontological terms), the values filling such
features and the importance of the hierarchy of values.

In the paper “Do the self-knowing machines dream of knowing their factivity?”, by
Pierluigi Graziani, Alessandro Aldini and Vincenzo Fano, the authors the authors present
a formal account of the "Gödelian Argument", according to which the human mind would
be equivalent to a finite machine unable to understand its own functioning.

The paper “Extracting Concrete Entities through Spatial Relations”, by Olga Lidia Acosta
López and C. Antonio Aguilar, the authors describe system able to bootstrap the
recognition of concrete entities from medical domain texts by taking advantage of the
use of the expression of spatial relationships

Finally, the paper “A Framework for Uncertainty-Aware Visual Analytics in Big Data”, by
Amin Karami, proposes a framework combining Fuzzy SOM (self organising maps)
within the MapReduce framework to model uncertainty and knowledge visually within big
data sets.


                                                                    Turin, November 2015
                                                                      The AIC 2015 Chairs
                            http://www.di.unito.it/~lieto/AIC2015/program_committee.html


                                       References

Lieto A., & Cruciani, M. (Eds) (2013). Artificial Intelligence and Cognition. Proceedings of
the first international workshop, AIC 2013 (vol. 1100, pp 1-171) Ceur-ws, Aachen,
Germany.

Lieto A., Radicioni D.P. & Cruciani, M. (Eds) (2014). Proceedings of the second
international workshop on Artificial Intelligence and Cognition, AIC 2014 (vol. 1315, pp
1-171) Ceur-ws, Aachen, Germany.

Lieto A., & Cruciani, M. (2015). Introduction to Cognitive Artificial Systems (Special
Issue), Connection Science, 27(2) (pp. 103-104). Taylor and Francis, UK.

Lieto A., & Radicioni D.P. (2015), From human to artificial cognition (and back): New
perspectives from cognitively- inspired AI systems, Cognitive Systems Research, 33 (1),
pp. 145.
                Sponsoring Institution Message

This publication collects the papers selected for AIC2015 – International Workshop on
Artificial Intelligence and Cognition (Turin 28th-29th September 2015), an event organised
with the support of Fondazione Fondo Ricerca e Talenti.
Fondazione Fondo Ricerca e Talenti is one of the first university foundations in Italy, and
the first to apply innovative fundraising mechanisms to research activities. Its aim is
twofold:

   -   promoting fundraising activities for the University of Turin, to which the
       Foundation belongs;
   -   financing scholarships and supporting scientific dissemination activities, for the
       benefit of young researchers of our University.

We firmly and concretely believe in the importance of research. We know, as many do,
that research is the foundation of our competitiveness, of our health, of our capacity to
deal with social and cultural challenges, of our future.
We also believe in our researchers, as much as in research. We know that their ideas
need an opportunity to grow and show their potential. Our strive to provide such
opportunity – even a small, but real opportunity – is at the core of our mission.
For us, doing so means three very simple things: reward merit, be inclusive and
engaging, do not hesitate to think out of the box, stick to our vision and keep an eye on
our future. These principles allowed us in two years, with very few human and financial
resources, to sponsor dozens of bursaries and dissemination events, to create a
network of hundreds of voluntaries supporting our initiatives on the field and to have
excellent echo on the media and at institutional level (including the European
Commission).
We want to build ties with students, with the civil society and with the private sector in
order to make the University of Turin a forge of opportunities at the service of our youth
and of our territories as a whole.
This is the reason why we particularly welcome spin-off initiatives like this publication,
which contributes to further develop and disseminate research ideas stemming from our
financed seminars on cutting-edge matters like Artificial Intelligence and Cognition.
In line with our spirit, we hope that this publication will highly benefit the scientific
community and will have a positive impact on they way we – as Human Intelligences and
Cognitive Beings – understand and live this complex world.

                                                     Fondazione Fondo Ricerca e Talenti
                                                                        The President
                                                                      Gianmaria Ajani
               AIC 2015 Program Committee

Gabriella Airenti, University of Torino, Italy
Bruno G. Bara, University of Torino, Italy
John Bateman, University of Bremen, Germany
Tarek R. Besold, University of Osnabrück, Germany
Mehul Bhatt, University of Bremen, Germany
Erik Cambria, Nanyang Technological University, Singapore
Angelo Cangelosi, University of Plymouth, UK
Cristiano Castelfranchi, ISTC-CNR, Italy
Antonio Chella, University of Palermo, Italy
David Danks, Carnegie Mellon University, USA
Mark A. Finlayson, Florida International University, USA
Christian Freksa, University of Bremen, Germany
Marcello Frixione, University of Genova, Italy
John Fox, University of Oxford, UK
Savatore Gaglio, University of Palermo and ICAR-CNR, Italy
Nicola Guarino, LOA-ISTC CNR, Italy
Anna Jordanous, University of Kent, UK
Antonis K. Kakas, University of Cyprus, Cyprus
Ismo Koponen, University of Helsinki, Finland
Oliver Kutz, University of Bolzano, Italy
Othalia Larue, Wright State University, USA
Francesca A. Lisi, University of Bari, Italy
Vincenzo Lombardo, University of Torino, Italy
Diego Marconi, University of Torino, Italy
Orazio Miglino, University of Napoli Federico II, Italy
Vincent C. Müller, Anatolia College, Greece
Alessandro Oltramari, Carnegie Mellon University, USA
Alessio Plebe, University of Messina, Italy
Paul Rosenbloom, University of Southern California, USA
Alexei Samsonovich, George Mason University, USA
Giovanni Semeraro, University of Bari, Italy
Ron Sun, Rensselaer Polytechnic Institute, Troy, NY, USA
Guglielmo Tamburrini, University of Napoli Federico II, Italy
Fabio Massimo Zanzotto, University of Roma 'Tor Vergata', Italy

                          Student Volunteers
Eleonora Ceccaldi, Francesco Ghigo, Enrico Mensa.