Agent and Multi-Agent Systems: Technologies and by Chih-Chun Chen, Sylvia B. Nagl, Christopher D. Clack

By Chih-Chun Chen, Sylvia B. Nagl, Christopher D. Clack (auth.), Ngoc Thanh Nguyen, Geun Sik Jo, Robert J. Howlett, Lakhmi C. Jain (eds.)

Following from the very profitable First KES Symposium on Agent and Multi-Agent structures – applied sciences and functions (KES-AMSTA 2007), held in Wroclaw, Poland, 31 May–1 June 2007, the second one occasion within the KES-AMSTA symposium sequence (KES-AMSTA 2008) was once held in Incheon, Korea, March 26–28, 2008. The symposium was once prepared by way of the varsity of machine and data Engineering, Inha college, KES foreign and the KES concentration team on Agent and Mul- agent platforms. The KES-AMSTA Symposium sequence is a sub-series of the KES convention sequence. the purpose of the symposium used to be to supply a world discussion board for clinical study into the applied sciences and purposes of agent and multi-agent structures. Agent and multi-agent structures are relating to the fashionable software program which has lengthy been well-known as a promising know-how for developing independent, advanced and clever structures. A key improvement within the box of agent and multi-agent platforms has been the specification of agent communique languages and formalization of ontologies. Agent communique languages are meant to supply average declarative mechanisms for brokers to speak wisdom and make requests of one another, while ontologies are meant for conceptualization of the data area. The symposium attracted a truly huge variety of scientists and practitioners who submitted their papers for 9 major tracks about the technique and functions of agent and multi-agent structures, a doctoral music and precise sessions.

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Additional resources for Agent and Multi-Agent Systems: Technologies and Applications: Second KES International Symposium, KES-AMSTA 2008, Incheon, Korea, March 26-28, 2008. Proceedings

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T. Nguyen et al. ): KES-AMSTA 2008, LNAI 4953, pp. 32–41, 2008. c Springer-Verlag Berlin Heidelberg 2008 On Drawing Conclusions in Presence of Inconsistent Data 33 The rest of the paper is organized as follows. Related work, basic terms and concepts are presented in Section 2. The management model is described in Section 3. The paper ends with a description of the system in Section 4 and a conclusion in Section 5. 2 Background Let P be a non-empty ordered set. If sup{x, y} and inf {x, y} exist for all x, y ∈ P , then P is called a lattice, [2].

Figure 2 displays typical convergence histories of RMS errors during the training process. In the beginning of the event, the initial RMS errors of three networks are exceedingly high and drop at a much faster rate (within the first 10 iterations) than those in the later phase the event. This is because the initial guesses for these networks are well away from their converged values. As the training error of the Sh/Shmax network decreases to a certain low level, it cannot be further reduced with increasing number of iterations.

There are some agent systems that combine reactive reasoning of BDI agents and planning. Cypress [16] combines the BDI agent of PRS-CL and the HTN planner of SIPE-2. Another agent system [5] combines the BDI agent of Jack and the HTN planner of SHOP. However, these agents cannot adjust event observation according to the plan execution. 7 Conclusions This paper has presented a new background sensing control method for planning agents working in the real world. By this method, it is possible to recognize useful events from the outer world, changing the target of background observation according to the situation and the plan execution.

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