Adaptive Agent Model: an Agent Interaction and Computation Model

Software systems must be capable of coping with continuous requirements changes and at the same time wisely make use of emerging components and services to remain useful in their environment. In this paper, the adaptive agent model (AAM) approach is proposed. The AAM uses configurable interaction model to drive adaptive agent behaviour. The model captures user requirements and is maintained by experts at a high level of abstraction. The AAM interaction model has been discussed with regard to interaction specification and interaction coordination, in line with a coordination language for the OpenKnowledge project. A major benefit of using the approach is agents can dynamically choose disparate components and services already developed for computation via their interaction with each other at runtime, when a new interaction model has been configured for them towards an emerging business goal. A simple expert seeking scenario has been used to illustrate the approach.