Knowledge Level Integration for Jacamo

Abstract

The specification of agent systems comprises different dimensions normally defined using distinct formalisms. This lack of uniform representations makes it harder to express how each level affects the others. To address this problem, we propose a semantic representation that integrates the formalisms that originally cover a single multi-agent system dimension, such as agency, en- vironment, or social organisation. In doing this, we align current trends in se- mantic technologies and in knowledge representation for agents, environments, and organisations thus providing MAS designers with a unified approach at the knowledge-level for the development of complex systems based on collaborative agents. Our approach uses three ontologies to represent the multi-agent system di- mensions, and we exemplify how separate platforms operating at each dimension can be integrated. We discuss the implications of such integrated view for design- ing agents, and highlight advantages of semantic representations for agent-based software development

Highlights

  • there are ontologies to represent the agency 5, environment [6], and organisation [7]

References


Footnotes

  1. Owl T a Task Ontology Language for Automatic Service Composition˄


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