Symbol grounding through cumulative learning

Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, Les Gasser

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

Abstract

We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tasks that it faces during the course of its lifetime. We outline a process in which agents learn to solve multiple tasks and extract a store of "cumulative knowledge" that helps them to solve each new task more quickly and accurately. This cumulative knowledge then forms the ontology or meaning space of the agent. We suggest that by grounding symbols to this extracted cumulative knowledge agents can gain a further performance benefit because they can guide each others' learning process. In this version of the symbol grounding problem meanings cannot be directly communicated because they are internal to the agents, and they will be different for each agent. Also, the meanings may not correspond directly to objects in the environment. The communication process can also allow a symbol meaning mapping that is dynamic. We posit that these properties make this version of the symbol grounding problem realistic and natural. Finally, we discuss how symbols could be grounded to cumulative knowledge via a situation where a teacher selects tasks for a student to perform.

Original languageEnglish (US)
Title of host publicationSymbol Grounding and Beyond - Third International Workshop on the Emergence and Evolution of Linguistic Communication, EELC 2006, Proceedings
PublisherSpringer-Verlag
Pages180-191
Number of pages12
ISBN (Print)3540457690, 9783540457695
StatePublished - Jan 1 2006
Event3rd International Workshop on the Emergence and Evolution of Linguistic Communication, EELC 2006 - Rome, Italy
Duration: Sep 30 2006Oct 1 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4211 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on the Emergence and Evolution of Linguistic Communication, EELC 2006
CountryItaly
CityRome
Period9/30/0610/1/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Swarup, S., Lakkaraju, K., Ray, S. R., & Gasser, L. (2006). Symbol grounding through cumulative learning. In Symbol Grounding and Beyond - Third International Workshop on the Emergence and Evolution of Linguistic Communication, EELC 2006, Proceedings (pp. 180-191). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4211 LNAI). Springer-Verlag.