CBR Net :- Smart Technology over a Network

CBR (case-based reasoning) has considerable potential for developing intelligent assistants for the World Wide Web. We examine intelligent applications already existent online and find that they can be divided into agent applications and thin client applications. Several case-based intelligent systems already exist on the web. These applications follow the thin client model with the intelligence located at the server side. In this paper we explore the advantages of distributing the processing load to the client side. We present an architecture for such a distributed CBR system for both an Internet and intranet application and describe how a case-representation language based on XML can facilitate this distribution. Adopting a standard case-representation language offers the possibility of communication between different applications, and agent-like interoperability.

[1]  Christopher K. Riesbeck,et al.  Inside Case-Based Reasoning , 1989 .

[2]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[3]  Padraig Cunningham,et al.  A Comparison of Incremental Case-Based Reasoning and Inductive Learning , 1994, EWCBR.

[4]  Jon Bosak,et al.  XML, Java, and the Future of the Web , 1997, World Wide Web J..

[5]  Padraig Cunningham,et al.  An incremental retrieval mechanism for case-based electronic fault diagnosis , 1998, Knowl. Based Syst..

[6]  Michael Knapik,et al.  Developing Intelligent Agents for Distributed Systems , 1997 .

[7]  J PetrieCharles Agent-Based Engineering, the Web, and Intelligence , 1996 .

[8]  Ralph Barletta,et al.  Building a case-based help desk application , 1993, IEEE Expert.

[9]  Roger C. Schank,et al.  SCRIPTS, PLANS, GOALS, AND UNDERSTANDING , 1988 .

[10]  Ian D. Watson,et al.  Applying case-based reasoning - techniques for the enterprise systems , 1997 .

[11]  Colin George Harrison,et al.  Agent Sourcebook , 1997 .

[12]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[13]  Padraig Cunningham,et al.  Adaptation Guided Retrieval in EBMT: A Case-Based Approach to Machine Translation , 1996, EWCBR.

[14]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[15]  Richard Ernest Bellman,et al.  An Introduction to Artificial Intelligence: Can Computers Think? , 1978 .