||This thesis use DAML (DARPA Agent Markup Language) to describe the ontology of a given domain knowledge. Based on the DAML ontology, this goal-oriented personal agent can be built. This approach facilitates integrate of agents and non-agent systems, respectively, by updating DAML ontology and by adding wrapper. By separating domain knowledge (ontology) from operated knowledge, ontology can be easily updated, when an agent joins the system. Thus, different agents can communicate with each other as long as the ontology has updated. Furthermore, because that rules and constricts can be described in DAML, agents can infer from the DAML ontology and interact intelligently. In addition, in pursuing a goal, if unforeseen situation occurs, the agents can act differently by inferring form the DAML ontology.|
|| Foundation for Intelligent Physical Agents. (2002, Dec). [Online]. FIPA SL Content Language Specification. Available: http://www.fipa.org/specs/fipa00061/|
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