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Special Session
Special Session on
Learning, Agents and Formal Languages
 - LAFLang 2013

15 February, 2013 - Barcelona, Spain

Within the International Conference on Agents and Artificial Intelligence - ICAART 2013


Leonor Bonache
Université Jean Monnet
Brief Bio
Leonor Becerra-Bonache is an associate professor at Jean Monnet University, France. She works in the Machine Learning team at the Hubert-Curien Laboratory. Her post-doctoral training includes a two-year stay at the Department of Computer Science at Yale University. Her main research interests are in the area of Grammatical Inference, Mathematical Linguistics, Machine Learning and Data Mining.
M. Jiménez-López
Universitat Rovira i Virgili
Brief Bio
M. Dolores Jiménez-López has a PhD in Linguistics. Currently, she is an associate professor at the Department of Romance Philologies in the Universitat Rovira i Virgili (Tarragona, Spain). She worked two years, as a pre-doctoral fellow, at the Computer and Automation Research Institute of the Hungarian Academy of Sciences in Budapest. Her post-doctoral training includes a three-year stay at the Department of Computer Science in the University of Pisa as a Marie Curie Researcher. Application of formal models to natural language analysis is one of her main research topics.


LAFLang focuses on the common space delimited by three main areas: machine learning, agent technologies and formal language theory.
The main goal of this workshop is to promote interdisciplinarity among people working in such disciplines, boosting the interchange of knowledge and viewpoints between specialists. This interdisciplinary research can provide new models that may improve AI technologies.

Understanding human learning well enough to reproduce aspects of that learning behaviour in a computer system is a worthy scientific goal. One of the less understood learning capacities of humans is their ability to acquire a natural language. In order to better understand natural language acquisition, research in formal models of language learning, within the field of machine learning, has received significant attention. The theory of formal language theory is central to the field of machine learning, since the specific subfield of grammatical inference deals with the process of learning grammars and languages from data.

The theory of formal languages was mainly originated from mathematics and generative linguistics as a tool for modelling and investigating syntax of natural languages, and then it played an important role in the field of computer science. While the first generation of formal languages was based on rewriting, a further development in this area has been the idea of several devices collaborating for achieving a common goal. Formal language theory has taken advantage of the idea of formalizing agent architectures where a hard task is distributed among several task-specific agents. In fact, non-standard formal language models have been proposed as grammatical models of agent systems.

So, the areas of machine learning, agent technologies and formal languages are clearly related. Therefore we are interested in contributions on any interaction between those three research areas.

Topics of Interest
Relevant topics include, but not be limited to, the following list:

  • Agent systems modelling
  • Grammatical models of agent systems
  • Formal models of bio-inspired agent systems
  • Theoretical descriptions of languages based on agent systems
  • Learning agents: Machine learning and Agent systems
  • Applications of learning agents to natural language processing
  • Applications of learning agents to human-computer interaction
  • Applications of learning agents to language evolution
  • Intelligent human-computer interaction


Philippe Beaune, ENS Mines Saint-Etienne, France
Olivier Boissier, ENSM-SE, France
Alexander Clark, Royal Holloway University of London, United Kingdom
Colin de la Higuera, Nantes University, France
Adrian Dediu, University Politehnica of Bucharest, Romania
Ricard Gavaldà, Departament de Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Spain
Amaury Habrard, Laboratoire Hubert Curien, University of St-Etienne, France
Jeffrey Heinz, University of Delaware, United States
Jean-Christophe Janodet, University of Evry, France
Jose Oncina, Universidad de Alicante, Spain
Alfonso Ortega de la Puente, Universidad Autónoma de Madrid, Spain
Marc Sebban, University of Saint-Etienne, France
Menno van Zaanen, Tilburg University, Netherlands
György Vaszil, University of Debrecen, Hungary


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


ICAART Special Sessions - LAFLang 2013
e-mail: icaart.secretariat@insticc.org