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Conditional Learning of Rules and Plans by Knowledge Exchange in Logical Agents

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Rule-Based Reasoning, Programming, and Applications (RuleML 2011)

Abstract

This paper is related to logical agents and in particular discusses issues related to learning sets of rules from other agents. In principle, the approach extends to agent societies a feature which is proper of human societies, i.e., the cultural transmission of abilities. However, the new knowledge cannot be blindly accepted and incorporated, but should instead be evaluated (and thus possibly discarded) according to its usefulness. We propose a technique and its formalization.

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Costantini, S., Dell’Acqua, P., Pereira, L.M. (2011). Conditional Learning of Rules and Plans by Knowledge Exchange in Logical Agents. In: Bassiliades, N., Governatori, G., Paschke, A. (eds) Rule-Based Reasoning, Programming, and Applications. RuleML 2011. Lecture Notes in Computer Science, vol 6826. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22546-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-22546-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22545-1

  • Online ISBN: 978-3-642-22546-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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