Cognitive Agents as a Design Metaphor in Environmental-Knowledge Management

DOI: 10.1007/978-3-7643-8900-0_7


Representing and sharing knowledge has been a central problem in artificial intelligence since its inception. Representations
such as semantic networks, frames, concept maps and ontologies, as well as various methodologies for using these systems have
been proposed for dealing with such issues. However, problems exist about issues such as communication among heterogeneous
agents, incomplete or uncertain knowledge, imprecise formal-izations, and so on. Here, a mapping system between knowledge
representations (concept maps and ontologies) is modeled using a methodology for the development of multi agent systems. Ontologies
are formalized from non-formal concept maps and can then be used to represent agents knowledge, and to facilitate the communication
among persons and software agents. A system is presented, in which a set of agents, implementing three functionalities (retrieval,
disambiguation and formalization), collaborates in the process of knowledge management. This multi-agent system is part of
a larger knowledge management system based on concept maps, and facilitates the use of generated and managed knowledge by
not only people but also other software agents, namely those which require knowledge about domains that have been represented
as concept maps, such as the environment domain, object of this book.

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