Agent and Multi-Agent Systems: Technologies and by Federico Chesani, Paola Mello, Marco Montali, Paolo Torroni

By Federico Chesani, Paola Mello, Marco Montali, Paolo Torroni (auth.), Piotr Jędrzejowicz, Ngoc Thanh Nguyen, Robert J. Howlet, Lakhmi C. Jain (eds.)

Simulation and choice Making, Multi-Agent functions, administration and e-Business, cellular brokers and Robots, and computing device studying. as well as the most tracks of the symposium there have been the subsequent 5 specified periods: Agent- established Optimization (ABO2010), Agent-Enabled Social Computing (AESC2010), electronic financial system (DE2010), utilizing clever structures for info know-how overview (ISITA2010) and a Doctoral music. accredited and provided papers spotlight new tendencies and demanding situations in agent and multi-agent learn. we are hoping those effects might be of price to the examine com- nity operating within the fields of man-made intelligence, collective computational intel- gence, robotics, desktop studying and, particularly, agent and multi-agent platforms applied sciences and functions. we want to specific our honest due to the Honorary Chairs, Romuald Cwilewicz, President of the Gdynia Maritime college, Poland, and Lakhmi C. Jain, collage of South Australia, Australia, for his or her help. Our specific thank you visit the neighborhood Organizing Committee chaired via Ireneusz Czarnowski, who did very good and ideal paintings. thank you are as a result of the application Co-chairs, all application and Reviewer Committee participants and the entire extra - audience for his or her helpful efforts within the evaluation strategy, which helped us to assure the best quality of chosen papers for the convention. We cordially thank the - ganizers and chairs of distinctive periods, which basically contributed to the luck of the conference.

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Additional info for Agent and Multi-Agent Systems: Technologies and Applications: 4th KES International Symposium, KES-AMSTA 2010, Gdynia, Poland, June 23-25, 2010, Proceedings. Part I

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The first analyses the MAS agent as individual system highlighting the internal structure, the beliefs, the goals, and the perceptions related to its environment. The second considers each single MAS agent as a part of a society and analyses the interaction with the other agents of the system and its environment. The paper is organised as follows: section 2 discusses some related works about the evaluation of multi-agent systems, section 3 presents the defined metric plan; section 4 describes the application of the defined method to the GeCo_Automotive multi-agent system and the results obtained.

For example, a newcomer with one fulfilled contract has a maximum value of the trust score, while an experienced, good supplier Engaging the Dynamics of Trust 29 with many contracts fulfilled in the past will have less trust score if it violated even one of the previous N contracts. On the other hand, this feature of the WMean gives more chances for newcomers to start working in an already established population. Nevertheless, it does not result in a better utility, as it is connected with the risk of trusting inexperienced suppliers.

One aspect is to understand better the social component of trust and reputation building process. Another great field of research is focused on finding the most suitable way to represent and aggregate social evaluation and existing evidences in a form of trust and/or reputation scores that could be used as a recommendation in selection of partners in virtual business. These models range from arithmetic and weighted means ([1], [2], [3]) to Beta ([4]) and Dirichlet distributions ([5]), Bayesian approaches ([6], [7]), and trust learning approaches ([8], [9]).

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