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AISB event Bulletin Item

CFP: BILC 2011: Interdisciplinary Research in Language and Biology



International Workshop on AI Methods for Interdisciplinary Research in Language and Biology (BILC 2011)



  Gemma Bel-Enguix, GRLMC-Research Group on Mathematical Linguistics, Universitat Rovira i Virgili, Spain
  Veronica Dahl, Simon Fraser University / GRLMC-Research Group on Mathematical Linguistics, Universitat Rovira i Virgili, Canada / Spain
  Alfonso Ortega De La Puente, Departamento de Ingenier?a Inform?tica, Universidad Aut?noma de Madrid, Spain


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. KEGF

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 include, but are not limited to:

. 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

Regular Paper Submission: October 4, 2010
Authors Notification: November 4, 2010
Final Paper Submission and Registration: November 23, 2010

The workshop is co-located with the International Conference on Agents and Artificial Intelligence (ICAART) - http://www.icaart.org.

Patricia Alves
ICAART Workshops Secretariat
Av. D. Manuel I, 27A 2. esq.
2910-595 Setubal, Portugal
Tel.: +351 265 100 033
Fax: +44 203 014 8639
e-mail: icaart.secretariat@insticc.org