By Sung Ho Ha (auth.), Piotr Jędrzejowicz, Ngoc Thanh Nguyen, Robert J. Howlet, Lakhmi C. Jain (eds.)
This booklet constitutes the court cases of the 4th KES foreign Symposium on Agent and Multi-Agent platforms, KES-AMSTA 2010, held in June 2010 in Gdynia, Poland. The mentioned box is anxious with the advance and research of AI-based problem-solving and regulate architectures for either single-agent and multiple-agent structures. basically eighty three papers have been chosen for booklet in either volumes and concentrate on themes similar to: Multi-Agent platforms layout and Implementation, Negotiations and Social concerns, net companies and Semantic internet, Cooperation, Coordination and Teamwork, Agent-Based Modeling, Simulation and choice Making, Multi-Agent purposes, administration and e-Business, cellular brokers and Robots, and laptop studying.
Read or Download Agent and Multi-Agent Systems: Technologies and Applications: 4th KES International Symposium, KES-AMSTA 2010, Gdynia, Poland, June 23-25, 2010, Proceedings. Part II PDF
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Additional resources for Agent and Multi-Agent Systems: Technologies and Applications: 4th KES International Symposium, KES-AMSTA 2010, Gdynia, Poland, June 23-25, 2010, Proceedings. Part II
3 Overall System Architecture In order to efficiently support personalized management of financial resources by the use of ACE agents, we propose to develop some specialized system agents SAs – gateways to financial institutions included, and some prototypes (patterns, skeletons) Personalized Support for Management of Financial Instruments 25 Financial institutions Secured communication channel Specific gateways SA3 SA2 Tools Generic gateways and drivers GAE Communication-agent SA1 SAD GAM Marketing agent Personal financial assistant GA2 PA2 PA1 Directoryagent PA3 Private agents Dedicated secured gateway GA1 System agents Secured financial computer system External systems for private agents PAs, to be further personalized by the end-users.
The key element of such extended enterprises is their supply chain. It determines how effective the company can be. The main problem is that even the simplest supply chains can behave in an unpredictable way and it is very hard to make accurate decisions. Sometimes demand for single merchandise or level of stock starts to change randomly and the behavior of whole supply chain becomes extremely complex. Only way to be prepared for risky situations and make informed decisions is to use the simulation model, which becomes the workbench for extended enterprise.
Knowledge Eng. Review 11/3, 205–244 (1996) 7. : Intelligent agents: theory and practice. Knowledge Engineering Review 10/2, 115–152 (1996) 8. : Who should take care of the personalization? , Koskivaara, E. ) IFIP International Federation for Information Processing, Project E-Society: Building Bricks, pp. 176–188. Springer, Heidelberg (2006) 9. : Using software agents to personalize natural-language access to Internet services in a chatterbot manner. In: 2nd International Conference Language And Technology L&T 2005, Poznan, Poland (2005) 10.