Abstract
This chapter discusses that an autonomous, intelligent system needs not just one, but many, models on which to base its operation, diagnosis, repair, and planning. These models differ in level of abstraction and in formalism. Concepts and tools are needed to organize the models into a coherent whole. An organized model base helps the agent to cope with the multiplicity of objects and situations in its environment and to link its high level plans with its actual low level actions. The chapter discusses the management of model bases using system entity structure concepts. It discusses the pruning process, which supports reuse of previously pruned structures. Concepts of context-sensitive pruning and partitioned entity structure bases are introduced to promote model base coherence and evolvability. It also presents research issues that arise when such model bases include models of the agent itself.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
