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1st International Workshop on AI Methods for Interdisciplinary Research
in Language and Biology - BILC 2011

29 January, 2011 - Rome, Italy

In conjunction with the 3rd International Conference on Agents and Artificial Intelligence - ICAART 2011

Gemma Bel-Enguix
GRLMC-Research Group on Mathematical Linguistics, Universitat Rovira i Virgili

Veronica Dahl
Simon Fraser University / GRLMC-Research Group on Mathematical Linguistics, Universitat Rovira i Virgili
Canada / Spain

Alfonso Ortega De La Puente
Departamento de Ingeniería Informática, Universidad Autónoma de Madrid
During the 20th century, biology has become a pilot science, so that many disciplines have formulated their theories under models taken from biology. Computer science has become almost a bio-inspired field thanks to the great development of natural computing and DNA computing. From linguistics, several attempts to establish structural parallelisms between DNA sequences and verbal language have been made (Jakobson, 1973, Marcus, 1998, Ji, 2002). In general, it can be stated that formal languages and Natural Language Processing (NLP) can take great advantage of the structural and “semantic” similarities between those codes and other bio-inspired computing models. Therefore, NLP could become another “bio-inspired” science, by means of theoretical computer science, that provides the theoretical tools and formalizations which are necessary for approaching such exchange of methodology. In this way, we obtain a theoretical framework where biology, NLP and computer science exchange models and interact, thanks to the semiotic parallelisms that are being uncovered between the genetic code and natural language.

Artificial intelligence methods could be relevant for interdisciplinary research in language and biology. Important topics in this interplay where AI methods could be interesting are the following:

a) Modelling cognitive capabilities for producing language
b) Modelling tools for verbal language and nucleic acid language comprehension
c) Modelling human learning to achieve automatic learning
d) Modelling language evolution
Topics of interest
We are interested in papers that approach natural language and biology from bio-inspired and formal models of computation. We are looking for contributions in the area of Artificial Intelligence, especially focused on the topics of a) natural language processing and simulation, and b) cognitive capabilities and learning.
According to this, this workshop is focused on, but not limited, to the following topics:

› Bio-inspired or Natural Models of Computation, and their Application to Natural Language Processing
     - Simulations
     - Programming Tools
› Application of Bio-inspired Models to Formal and Natural Language Processing
› AI and Multi-agent Bio-inspired Techniques for Modelling Cognitive Capabilities
› Human Learning as a Model for Automatic Learning
     - Grammatical Inference
     - Human-Machine Interaction
› AI and Multi-agent Bio-inspired Techniques for Formal and Natural Language Processing
› AI-based Methods and Models for Language Evolution
     - Simulations
     - Programming Tools
› Models and Tools for Verbal Language and Nucleic Acid Comprehension
     - Patterns and Motives
     - DNA Barcodes
     - Ambiguous Matching
Workshop Program Committee
Manuel Alfonseca, Universidad Autonoma de Madrid, Spain
Cesar Luis Alonso, Universidad de Oviedo, Spain
Gemma Bel-enguix, Rovira I Virgili University, Spain
David Camacho, Universidad Autónoma de Madrid, Spain
Veronica Dahl, Simon Fraser University, Canada
Alejandro Echeverría, UAM, Spain
Adela Grando, Edinburgh University, United Kingdom
Robert Mercas, Rovira i Virgili University, Spain
José Luis Montaña, Universidad de Cantabria, Spain
Udochukwu Ogbureke, University College Dublin, Ireland
Alfonso Ortega de la Puente, Universidad Autónoma de Madrid, Spain
Ismael Pascual-Nieto, Universidad Autonoma de Madrid, Spain
Diana Perez-Marin, Universidad Rey Juan Carlos, Spain
Iurie Rogojin, Academy of Sciences of Moldova Republic, Moldova, Republic of
All accepted papers will be published in the workshop proceedings book, under an ISBN reference and on CD-ROM support.
All papers presented at the conference venue will be available at the SciTePress Digital Library (http://www.scitepress.org/DigitalLibrary/).