Agent and Multi-Agent Systems: Technologies and by Michael Wooldridge (auth.), James O’Shea, Ngoc Thanh Nguyen,

By Michael Wooldridge (auth.), James O’Shea, Ngoc Thanh Nguyen, Keeley Crockett, Robert J. Howlett, Lakhmi C. Jain (eds.)

This e-book constitutes the refereed court cases of the fifth KES foreign convention on Agent and Multi-Agent structures, KES-AMSTA 2011, held in Manchester, united kingdom, in June/July 2011.
The sixty nine revised papers provided have been rigorously reviewed and chosen for inclusion within the e-book. furthermore the amount includes one summary and one complete paper size keynote speech. The papers are prepared in topical sections on conversational brokers, discussion platforms and textual content processing; brokers and on-line social networks; robotics and production; agent optimisation; negotiation and defense; multi-agent platforms; mining and profiling; agent-based optimization; doctoral tune; computer-supported social intelligence for human interplay; electronic economic climate; and clever workflow, cloud computing and systems.

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Additional info for Agent and Multi-Agent Systems: Technologies and Applications: 5th KES International Conference, KES-AMSTA 2011, Manchester, UK, June 29 – July 1, 2011. Proceedings

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State of XCS Classifier System Research. W. ) IWLCS 1999. LNCS (LNAI), vol. 1813, pp. 63–81. Springer, Heidelberg (2000) 65. : Support vector machine based multiagent ensemble learning for credit risk evaluation. Exp. Sys. Appl. 37, 1351–1360 (2010) 66. : A multiagent data warehousing (MADWH) and multiagent data mining (MADM) approach to brain modeling and neurofuzzy control. Inf. Sc 167, 109–127 (2004) 67. : Multi-Database Mining. uk Abstract. Goal-orientated Conversational Agents are a specific family of conversational agents that are designed to converse with humans through the use of natural language dialogue to achieve a specific task.

14 P. J¸edrzejowicz 30. : Intrusion detection with mobile agents. Comp. Comm. 25, 1392– 1401 (2002) 31. : A-Teams and Their Applications. -M. ) ICCCI 2009. LNCS, vol. 5796, pp. 36–50. Springer, Heidelberg (2009) 32. : A Family of GEP-Induced Ensemble Classifiers. -M. ) ICCCI 2009. LNCS, vol. 5796, pp. 641–652. Springer, Heidelberg (2009) 33. : Two Ensemble Classifiers Constructed from GEP-Induced Expression Trees. C. ) KES-AMSTA 2010. LNCS, vol. 6071, pp. 200–209. Springer, Heidelberg (2010) 34. : A roadmap of agent research and development.

5 Case Study 2: HR Bullying and Harassment Advisor The second case study will describe how a GO-CA was used to act as an advisor for employees on ‘Bullying and Harassment in the Workplace’ policy and procedures in a large organisation [19]. In the UK, no single piece of legislation addresses the problem of bullying and harassment [20]. Rather, organisations are required to implement a number of different laws which protect employees from harassment due to various causes. This can result in the development of complex policy documents.

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