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32801 Conferences

AI Methods for Interdisciplinary Research in Language and Biology - BILC 2012

Added by on 2011-09-21

Conference Dates:

Start Date Start Date: 2012-02-06
Last Date Last Day: 2012-02-08
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2011-10-31

Conference Contact Info:

Contact Person Contact Person: ICAART Secretariat
Email Email: icaart.secretariat@insticc.org
Address Address: Av. D. Manuel I, 27A, 2º esq., 2910-595 Setúbal - Portugal, Setúbal, Portugal

Conference Description:

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Special Session: AI Methods for Interdisciplinary Research in Language and Biology - BILC 2012

In conjunction with the 4th International Conference on Agents and Artificial Intelligence - ICAART 2012

Venue: Vilamoura, Algarve, Portugal

Conference date: 6-8 February, 2012

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

Maria Dolores Jimé López
GRLMC - Research Group on
Mathematical Linguistics,
Universitat Rovira i Virgili
Spain

Alfonso Ortega De La Puente
Departamento de Ingeniería Informática,
Universidad Autónoma de Madrid
Spain

Scope and Topics
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

Important Dates:
Paper Submission: October 31, 2011
Authors Notification: November 18, 2011
Final Paper Submission and Registration: December 2, 2011

Contacts:
ICAART Secretariat
Address: Av. D. Manuel I, 27A, 2º esq.
2910-595 Setúbal - Portugal
Tel.: +351 265 100 033
Fax: +44 203 014 8556
e-mail: icaart.secretariat@insticc.org
Web:http://www.icaart.org/BILC.asp
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