Sciweavers

Share
AIM
2006

Comparative Analysis of Frameworks for Knowledge-Intensive Intelligent Agents

8 years 10 months ago
Comparative Analysis of Frameworks for Knowledge-Intensive Intelligent Agents
maintain awareness of its environment for a long period of time. Additionally, knowledge-intensive agents must be engineered such that their knowledge can be easily updated as environment and task requirements change during deployment. This paper discusses representations and processes for agents and behavior models that encode large knowledge bases, are long-lived, and exhibit high degrees of competence and flexibility while interacting with complex environments. There are many different approaches to building such agents, and understanding the important commonalities and differences between approaches is often difficult. We introduce a new approach to comparing approaches based on the notions of deliberate commitment, reconsideration, and a categorization of representations. We review three agent frameworks, concentrating on the major representations and processes each directly supports. By organizing the approaches according to a common nomenclature, the analysis highlights points o...
Randolph M. Jones, Robert E. Wray III
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where AIM
Authors Randolph M. Jones, Robert E. Wray III
Comments (0)
books