GAI – General Artificial Intelligence

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

- Artificial Art and Music
- Brain Sciences
- Case-by-case Problem-Solving
- Cognitive Architectures
- Coherence of Integrative/Hybrid Systems
- Computer-Aided Education
- 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 and Ethical Issues
- Planning and Scheduling
- 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

Paper Submission

Submissions must be original and not published elsewhere. Papers should not exceed twelve (12) pages in length and must adhere to the formatting instructions of the conference. Each submission will be peer reviewed by at least three members of the Programme Committee. The reviewing process is double blind, so authors should remove names and affiliations from the submitted papers, and must take reasonable care to assure anonymity during the review process. References to own work may be included in the paper, as long as referred to in the third person. The top accepted papers will appear in the proceedings published by Springer in the LNAI series. The remaining accepted papers will be published in the local proceedings.

Organizing Committee

Luís Correia, University of Lisbon, Portugal
Luís Paulo Reis, University of Minho, Portugal
José Cascalho, University of Azores, Portugal

Program Committee (to be announced soon)

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