Using relational concept knowledge to improve search in referral networks

ABSTRACT

The notion of referral networks, as presented in the work of Singh and Yolum, and their application to knowledge management, lacks two fundamental aspects; the relation of concepts within a domain, and the ability of an agent to dynamically change their interests based on suggestions in the form of concept relations. This paper introduces the concept of an oracle agent, which is an agent with relational concept knowledge that can supply suggestions to a querying agent on how to adapt their interests. These new features allow agents to search in new ways so as to achieve superior results and as a consequence outperform agents in a traditional referral network.

REFERENCES

• 1: Pinar Yolum , Munindar P. Singh, Emergent properties of referral systems, Proceedings of the second international joint conference on Autonomous agents and multiagent systems, July 14-18, 2003, Melbourne, Australia [doi>10.1145/860575.860670]
• 2: Gerard Salton , Michael J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY, 1986
• 3: Yolum, P.,&Singh, M. P. (2004). Engineering Self-Organizing Referral Networks for Trustworthy Service Selection. IEEE Transactions on systems, man, and cybernetics, 1--10.
• 4: Yolum, P.,&Singh, M. P. (2002). An Agent-Based Approach for Trustworthy Service Location. Lecture Notes in Artificial Intelligence, 45--56.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence

General Terms:
Algorithms, Experimentation

Keywords:
social/management science, social/organization: groups and teams