Biological concept formation grammars: A flexible, multiagent linguistic tool for biological processes

Veronica Dahl, Pedro Barahona, Gemma Bel-Enguix, Ludwig Krippahl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Constraint based models that are useful for processing biological information have been successfully put forward recently, e.g. for representing multi-disciplinary biological knowledge in view of cancer diagnosis, and for reconstructing RNA sequences from secondary structure. Here we generalize such results into a model for biological concept formation which can interact with heterogeneous agents through constraint-based reasoning. Our model includes linguistic agents, probabilistic agents for mining nucleic acid, and illness diagnosis agents. Information is selected automatically as a side effect of (the system) searching through applicable CHR rules, and automatically transformed when a rule triggers; decisions follow from the normal operation of the rules, and cognitive structure is given by properties that the concepts a given rule is trying to relate must satisfy. Moreover the user can declare under what circumstances a given property or properties can be relaxed. Concepts formed under relaxed properties result in output which signals not only what concepts were formed, but which of the properties associated with the construction of those concepts were satisfied and which were not. This allows us human-like flexibility while maintaining direct executability.

Original languageEnglish
Title of host publicationICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings
Pages388-394
Number of pages7
Volume2
Publication statusPublished - 13 Sep 2010
Event2nd International Conference on Agents and Artificial Intelligence, ICAART 2010 - Valencia, Spain
Duration: 22 Jan 201024 Jan 2010

Conference

Conference2nd International Conference on Agents and Artificial Intelligence, ICAART 2010
CountrySpain
CityValencia
Period22/01/1024/01/10

Keywords

  • Biology
  • Cognitive sciences
  • Concept formation
  • Constraint handling rule grammars
  • Constraint handling rules
  • Language processing
  • Logic grammars
  • Logic programming
  • Lung cancer detection
  • Molecular biology
  • Multi-agent systems
  • Nucleic acid string analysis
  • RNA design

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