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A knowledge-driven approach for specifying the requirements of multi-agent system

Author

Listed:
  • Vibha Gaur
  • Anuja Soni

Abstract

Agents exhibit a high degree of cooperation to achieve designated goals that may not be feasible otherwise. In such a cooperative environment, the specification of the static and dynamic requirements of agents is a prime concern. Knowledge is the acquaintance with the facts or principles for extracting the non-trivial and potentially useful information from data. This work comprehends the knowledge in terms of decision table, indiscernible relation, information system, equivalence classes and reduction of rules. To specify the static requirements, this work proposes a coding scheme that assists the developers in obtaining the equivalence classes and enhances the readability and maintainability of the requirements. To specify the dynamic requirements, this work utilises the knowledge rule-base and visual state flow (SF) charts. Rule-base consists of the rules to identify appropriate service provider agents whereas visual state flow (SF) charts are used to comprehend the inter-agent dependency requirements and also enhance the chances of detecting inconsistent requirements.

Suggested Citation

  • Vibha Gaur & Anuja Soni, 2015. "A knowledge-driven approach for specifying the requirements of multi-agent system," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 19(3), pages 300-323.
    • Handle: RePEc:ids:ijbisy:v:19:y:2015:i:3:p:300-323
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