AIC 2017 - Aims and Scope

Topics of interest for AIC 2017 include but are not limited to:

• Knowledge Representation and Cognition (e.g. Neural Networks models, Conceptual Spaces, Ontologies and representation of common sense)
• Cognitive Architectures (e.g. SOAR, ACT-R) and Cognitive modelling for Artificial Systems
• B.I.C.A. (Biologically Inspired Cognitive Architectures) and systems
• Cognitive Robotics
• Human Robot Interaction
• Evaluation of cognitively driven AI systems compared with other AI approaches
• Cognition and Semantic Web
• Methodological open questions on AI and Cognition
• Automated reasoning: deductive, probabilistic, diagnostic, causal and analogical inference
• Historical and theoretical relation among Cognitive Science and Artificial Intelligence
• Knowledge discovery and acquisition
• Modelling of human learning and knowledge acquisition in complex domains
• Computational Linguistics, Natural Language Processing & Understanding
• Logic and Reasoning
• Evolutionary Computation
• Spatial Cognition and Computation
• Cognitively inspired Machine Learning
• Computational Theories of Learning
• Computational Creativity
• Cognitive and the Moving Imag
• Computational Models of Narrative Understanding (Visuo-Auditory Narrativity, Perception, Cognitive Film Studies)
• Decision Support Systems


SPECIAL-FOCUS: AIC 2017 particularly welcome papers related to the problems concrerning cognitively-inspired methods of Knowledge Representation and Reasoning, Knowledge Acquisition and Learning, Knowledge Processing Mechanisms in Cognitive Systems and Architectures