MOTIVATION<br>––––––––––––––––––<br>The research in Artificial Intelligence (AI) has been based, from an historical standpoint, on a strong collaboration with Cognitive Science. This collaboration, has produced – along the years – mutual benefits. In AI this partnership has driven to the realization of intelligent systems based on plausible models of human cognition.<br>In turn, in cognitive science, this partnership allowed the development of cognitive models and architectures providing greater understanding on human thinking.<br>In recent years, after a period of partial fragmentation of the research directions, the area of cognitively inspired artificial systems is progressively attracting a renewed attention both from academia and industry and the awareness about the need for additional research in this interdisciplinary field is gaining widespread acceptance.<br>AIC 2019 is the 7th appointment of the workshop series AIC (http://dblp.uni–trier.de/db/conf/aic/index), started in 2013 and stemming from the need of creating an international scientific forum for the discussion and the presentation of the theoretical and applied research developments in the field of cognitively inspired Artificial Intelligence.<br>SPECIAL–TRACK: AIC 2019 particularly welcome papers related to the problems concerning the EMBODIMENT, and its role in the study of “intelligence” and “autonomy”, in cognitively–inspired systems (natural and artificial).<br>As for the previous editions, the AIC 2019 workshop aims at putting together researchers coming from different domains (e.g., artificial intelligence, cognitive science, computer science, engineering, philosophy, social sciences, etc.) working on the interdisciplinary field of cognitively inspired artificial systems.<br>Both papers spotlighting theoretical issues and experimental research in the field are welcome. We also particularly welcome papers raising challenging questions, innovative ideas and out of the box thinking and which, as a consequence, can help to promote interesting discussions at the workshop.<br>TOPICS<br>–––––––––––<br>Topics of interest include but are not limited to:<br>– Knowledge Representation and Cognition (e.g. Neural Networks models, Ontologies and representation of common sense etc.)<br>– Cognitive Architectures (e.g. SOAR, ACT–R) and Cognitive modelling for Artificial Systems<br>– B.I.C.A. (Biologically Inspired Cognitive Architectures) and systems<br>– Cognitive Robotics<br>– Human–Robot Interaction<br>– Artificial Cognitive Systems design<br>– Evaluation of cognitively driven AI systems compared with other AI approaches<br>– Cognition and Semantic Web<br>– Methodological open questions on AI and Cognition<br>– Automated reasoning: deductive, probabilistic, diagnostic, causal and analogical inference<br>– Human–Computer Interaction<br>– Historical and theoretical relation among Cognitive Science and Artificial Intelligence<br>– Knowledge discovery and acquisition<br>– Modelling of human learning and knowledge acquisition in complex domains<br>– Computational Linguistics, Natural Language Processing & Understanding<br>– Logic and Reasoning<br>– Evolutionary Computation<br>– Cognitively inspired Machine Learning<br>– Computational Theories of Learning<br>– Computational Models of Narrative for Artificial Systems (Visuo–Auditory Narrativity, Perception)<br>– Cognition and Moving Image<br>– Computational Creativity<br>– Decision Support Systems<br><div><br></div>
Abbrevation
AIC
City
Manchester
Country
UK
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