Traditionally in EPIA there is a thematic track under the title of General Artificial Intelligence (GAI) that intends to cover general methodologies and architectures for intelligent systems and research that does not clearly fall under other specific thematic tracks. Besides, in GAI we will encourage researchers to present work in interdisciplinary areas and in breaking domains of AI. All available paths integrating AI are welcome, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. Relevant to this track are also papers on issues that arise in the design and construction of complex artificial intelligent agents, including but not limited to human-level intelligent agents, integrating varying

component technologies.

TOPICS OF INTEREST

The topics of interest include, but are not limited to:

• Brain Sciences
  
• Case-by-case Problem-Solving
• Cognitive Architectures
• Coherence of Integrative/Hybrid Systems
• Connecting Sensorimotor and Concept-level Cognition Context
• Evaluation and Comparison of AI Projects
• Foundations and Theory of AI
• Human-Computer Interaction
• Intelligent Database Systems
• Intelligent User Interfaces
• Lifelong and Multi-Strategy Learning
• Logic Based Knowledge Representation
• Logic Programming
• Management of Complex Goal Structures
• Multimodal Communication
• Natural Language Processing
• Ontologies
• Philosophical Issues
• Program Analysis, Validation, Verification and Debugging
  
• Real-Time AI Systems
• Reasoning with Incomplete and Uncertain Information
• Semantic Web
• The Role of Embodiment in AI
• Virtual characters

ORGANIZATION COMMITTEE

• Nuno Moniz, University of Notre Dame / INESC TEC, USA
• Zita Vale, GECAD / ISEP – IPP, Portugal
• José Cascalho, GRIA – LIACC / Universidade dos Açores, Portugal
• Catarina Silva, CISUC, Universidade de Coimbra, Portugal
• Raquel Sebastião, IEETA / Universidade de Aveiro, Portugal