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A FRAMEWORK FOR DYNAMIC KNOWLEDGE EXCHANGE AMONG INTELLIGENT AGENTS Authors

Yilmaz Cengeloglu, Soheil Khajenoori, Darrell G. Linton

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Abstract

An intelligent agent is an object with its own knowledge and information base. F, ach intelligent agent acts in parallel with other intelligent agents and cooperates with a selected set of other agents to achieve a common set of goals. In a dynamic environment, intelligent agents must be responsive to unanticipated conditions. When such conditions occur, an agent may have to stop a previously planned and scheduled course of actions and replan, reschedulc, start new activities and initiate a new problem solving process to successfully respond to the new conditions. Problems occur when an intelligent agent does not have enough knowledge to properly reslxmd to the new situation. A framework lbr dynamic knowledge exchange among intelligent agents has been proposed to allow an intelligent agent to react to knowledge deficiency. Hence, using the prolx)sed framework new knowledge can be transferred when an intelligent agent is unable to solve the problem using its own knowledge. Once the knowledge has been transferred, the intelligent agent can either keep the transferred knowledge permanently or remove it after the transferred knowledge has he, en used to re)lye the problem

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What this paper is about

An intelligent agent is an object with its own knowledge and information base. F, ach intelligent agent acts in parallel with other intelligent agents and cooperates with a selected set of other agents to achieve a common set of goals. In a dynamic environment, intelligent agents must be responsive to unanticipated conditions. When such conditions occur, an agent may have to stop a previously planned and scheduled course of actions and replan, reschedulc, start new activities and initiate a new problem solving process to successfully respond to the new conditions. Problems occur when an intelligent agent does not have enough knowledge to properly reslxmd to the new situation. A framework lbr dynamic knowledge exchange among intelligent agents has been proposed to allow an intelligent agent to react to knowledge deficiency. Hence, using the prolx)sed framework new knowledge can be transferred when an intelligent agent is unable to solve the problem using its own knowledge. Once the knowledge has been transferred, the intelligent agent can either keep the transferred knowledge permanently or remove it after the transferred knowledge has he, en used to re)lye the problem

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Available abstract

An intelligent agent is an object with its own knowledge and information base. F, ach intelligent agent acts in parallel with other intelligent agents and cooperates with a selected set of other agents to achieve a common set of goals. In a dynamic environment, intelligent agents must be responsive to unanticipated conditions. When such conditions occur, an agent may have to stop a previously planned and scheduled course of actions and replan, reschedulc, start new activities and initiate a new problem solving process to successfully respond to the new conditions. Problems occur when an intelligent agent does not have enough knowledge to properly reslxmd to the new situation. A framework lbr dynamic knowledge exchange among intelligent agents has been proposed to allow an intelligent agent to react to knowledge deficiency. Hence, using the prolx)sed framework new knowledge can be transferred when an intelligent agent is unable to solve the problem using its own knowledge. Once the knowledge has been transferred, the intelligent agent can either keep the transferred knowledge permanently or remove it after the transferred knowledge has he, en used to re)lye the problem

Key concepts: Intelligent agent, Agent architecture, Computer science, Knowledge base, Set (abstract data type), Process (computing), Knowledge-based systems, Domain knowledge

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