integrated &I: An Architecture Agents manage a diverse set of agents? How do the agents communicate? What knowledge is required by a agent and is it shared with other agents? Do the agents know ofone another and if so, what relationships exist? Does a agent demonstrate intelligent behavior or does intelligent behavior emerge from the coexistence of the active state of the many diverse agents? In addressing these questions, a design theory for a architecture of integrated agents, influenced by Minsky s Society of Mind (SOM) theory [12, 131, was defined and implemented. In this work, aspects of spatial, structural, functional, temporal, causal, explanation-based, and casebased reasoning (see Note I in Glossary) capabilities were integrated in M via (1) a semantic network (see Note 2 in Glossary), (2) a rule-based system (see Note 3 in Glossary), (3) Minsky s K-lineslpolynemes, transframes, and pronomes (see Notes 4-6 in Glossary), and (4) scripts (see Note 7 in Glossary). The basic theory of this work takes the position that a assistant that can classify and explain actions applied to objects within a highly dynamic world should be functionally effective if it can
Communications of the ACM – Association for Computing Machinery
Published: Jul 1, 1994
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