By Paul Davidsson, Jan A. Persson, Johan Holmgren (auth.), Ngoc Thanh Nguyen, Adam Grzech, Robert J. Howlett, Lakhmi C. Jain (eds.)
st This quantity comprises papers chosen for presentation on the 1 KES Symposium on Agent and Multi-Agent platforms – applied sciences and purposes (KES-AMSTA 2007), held in Wroclaw, Poland, may possibly 31 – June 1, 2007. The symposium was once org- ized by means of the Institute of knowledge technological know-how and Engineering, Wroclaw collage of know-how, and KES overseas, as a part of the KES convention sequence. the purpose of the symposium was once to supply a world discussion board for clinical - seek within the applied sciences and purposes of agent and multi-agent structures. brokers and multi-agent platforms are concerning the fashionable software program which has lengthy been r- ognized as a promising expertise for developing independent, complicated and intel- gent structures. A key improvement within the box of agent and multi-agent platforms has been the specification of agent conversation languages and formalization of - tologies. Agent verbal exchange languages are meant to supply commonplace decla- tive mechanisms for brokers to speak wisdom and make requests of one another, while ontologies are meant for conceptualization of the data - main.
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Extra resources for Agent and Multi-Agent Systems: Technologies and Applications: First KES International Symposium, KES-AMSTA 2007, Wroclaw, Poland, May 31– June 1, 2007. Proceedings
In practice, an agent system satisfying the above requirements is an Internet-based open enterprise automated systems. This trend requires novel supports available from * This work is sponsored by Australian Research Council Discovery Grant (DP0773412, LP0775041, DP0667060, DP0449535), and UTS internal grants. T. Nguyen et al. ): KES-AMSTA 2007, LNAI 4496, pp. 11–20, 2007. © Springer-Verlag Berlin Heidelberg 2007 12 D. Luo et al. agent-based computing (ABC) . Fortunately, service and service-oriented computing (SOC)  have newly emerged as a powerful paradigm for designing distributed and especially Internet-based systems.
Example of system structure achievable with the presented framework Most common types of agents include: • HMI interface (visualisation of system performance, acquisition of user input); • Virtual process (embeds mathematical model of process); • Control algorithm (embeds a set of mathematical equations forming algorithm). 26 G. Polaków and M. Metzger Such modules may be implemented in: • software (computer program running on desktop PC); • hardware (commercially available programmable logic controller, some of them are connectible to Ethernet and can implement full framework functionality).
Constructing Intelligent Agents Using Java. 2nd edn. John Wiley & Sons, New York (2001) 2. : Consensus–based adaptive interface construction for multiplatform Web applications. LNCS, Vol. 2690 (2003), 457–461 3. Jennings, N. : Agent–Based Control Systems. IEEE Control Systems Magazine, Vol. 23 (2003) 61–74 4. : An Agent–Based Framework for Designing Multi– Controller Systems. Proceedings of the Fifth International Conference on The Practical Applications of Intelligent Agents and Multi–Agent Technology (2000) 219–235 5.