However, to take advantage of this feature, interoperability of agents
across different platforms must be ensured.
When agents are initially created, they have little knowledge and experience. Although
agent owners may give some basic knowledge or functionality to these agents, it
is advantageous if they have the ability to learn and evolve. Furthermore, the Web
Ontology Exchange and Integrat on v a Product-Broker ng Agents
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environment also changes rapidly and agents should strive to adapt themselves in
order to complete their tasks successfully.
Many issues are essential in agent evolution. First, evolution of agents depends on
agents??™ knowledge and structure. Thus, a suitable agent structure for knowledge
acquisition is the basic concern in agent evolution. Second, agents should have
their own mechanisms to advance evolution. How to design strong and adaptive
evolution mechanisms is another issue to be pursued. Third, in multi-agent systems,
evolution of agents is also related to many issues, such as coordination, relationship,
topology, and communication.
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