Towards requirement analysis pattern for learning agents

  • Authors:
  • Shiva Vafadar;Ahmad Abdollahzadeh Barfourosh

  • Affiliations:
  • Intelligent System Lab, Computer Engineering and IT Faculty, Amirkabir University of Technology;Intelligent System Lab, Computer Engineering and IT Faculty, Amirkabir University of Technology

  • Venue:
  • AOSE'10 Proceedings of the 11th international conference on Agent-oriented software engineering
  • Year:
  • 2010

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Abstract

Learning is a capability that can be incorporated into software agents to handle the complexity of dynamic and unexpected situations, exploiting available artificial intelligence (AI) techniques. Despite design techniques for learning agents have been discussed in agent oriented software engineering literature, how to identify and analyze the requirements for learning agents is still poorly addressed. In this paper, we introduce a pattern for requirement analysis of learning agents. This analysis pattern contains a group of related, generic meta-classes of learning and their relations in a domain neutral manner which can be described as elements of conceptual modeling of learning requirement of agents. The applicability of the pattern has been investigated through the development of a book trading case study.