Abstract

This paper investigates the use of action languages, originally developed for representing and reasoning about single-agent domains, in modeling multi-agent domains. We use the action language C and show that minimal extensions are sufficient to capture several multi-agent domains from the literature. The paper also exposes some limitations of action languages in modeling a specific set of features in multi-agent domains.

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