Thematic tracks

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 include, but are not limited to:

  • 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 Program 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. Acceptance will be based on the paper’s significance, technical quality, clarity, relevance and originality.


Paper Publication

All accepted papers will be published by Springer in a volume of the LNAI-Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge). The number of pages of the accepted contributions has the following limits:

  • Full Regular Papers: Contributions accepted as full papers should contain from 10 to 12 pages in its final version, according to the LNAI series formatting instructions. Extraordinarily, other two additional pages could be considered with a supplementary fee.
  • Short Papers: Contributions accepted as short papers should contain from 4 to 6 pages in its final version, according to the LNAI series formatting instructions.

All accepted papers must be presented orally the conference by one of the authors and at least one author of each accepted paper must register for the conference.


Important dates

Deadline for paper submission: March 23, 2015
Notification of paper acceptance: 27, April, 2015
Camera-ready papers due: 1, June, 2015
Conference dates: September 8-11, 2015


Track Chairs

Francisco Baptista Pereira
Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, Coimbra, Portugal
Email: xico (at)

Penousal Machado
CISUC – Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal
Email: machado (at)


Programme Committee

Adriana Giret, Universitat Politècnica de València, Spain
Alexandra Carvalho, IT/IST – Technical University of Lisbon, Portugal
Amal El Fallah, Pierre-and-Marie-Curie University – UPMC, France
Amílcar Cardoso, University of Coimbra, Portugal
Andrea Omicini, University of Bologna, Italy
Arlindo Oliveira INESC-ID, Portugal
Carlos Bento University of Coimbra, Portugal
Carlos Ramos Polytechnic of Porto, Portugal
César Analide University of Minho, Portugal
Eric de La Clergerie INRIA, France
Ernesto Costa, University of Coimbra, Portugal
Eugenio Oliveira, University of Porto, Portugal
Frank Dignum, Utrecht University, Netherlands
Gaël Dias, University of Caen, France
Helder Coelho, University of Lisbon, Portugal
Irene Rodrigues, University of Évora, Portugal
João Balsa, University of Lisbon, Portugal
João Gama, University of Porto, Portugal
João Leite, New University of Lisbon – UNL, Portugal
John-Jules Meyer, Utrecht University, Netherlands
Jose Cascalho, University of Azores
José Neves, University of Minho, Portugal
José Gabriel Pereira Lopes, New University of Lisbon – UNL, Portugal
José Júlio Alferes, New University of Lisbon – UNL, Portugal
Juan Corchado, University of Salamanca, Spain
Luis Antunes, University of Lisbon, Portugal
Luis Cavique, University Aberta, Portugal
Luis Seabra Lopes, University of Aveiro, Portugal
Luís Correia, University of Lisbon, Portugal
Luís Macedo, University of Coimbra, Portugal
Michael Rovatsos, University of Edinburgh, UK
Miguel Calejo, APPIA, Portugal
Paulo Cortez, University of Minho, Portugal
Paulo Gomes, University of Coimbra, Portugal
Paulo Moura Oliveira, UTAD, Portugal
Paulo Urbano, University of Lisbon, Portugal
Pavel Brazdil, University of Porto, Portugal
Pedro Barahona, New University of Lisbon – UNL, Portugal
Pedro Henriques, University of Minho, Portugal
Pedro Mariano, University of Lisbon, Portugal
Rui Camacho, University of Porto, Portugal
Salvador Abreu, University of Évora, Portugal