Titlebook: Engineering Multi-Agent Systems; First International Massimo Cossentino,Amal Fallah Seghrouchni,Michael Conference proceedings 2013 Spring

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Compassionate

obnoxious

Conclusions and Recommendations,e world. Our contest enables head-to-head comparison of multi-agent systems and supports educational efforts in the design and implementation of such systems. This year we have generated a multitude of statistical data for each match and give a detailed interpretation of them.

ADJ

Climate Change Policy Alternatives,ls, and results of our team. For this year we used the . platform to develop the team, which is composed of Jason (to program the agents), . (to program the environment), and .. (to program the organization). We also improved the last year team with new strategies focused on the updated “Agents on M

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Chaos in the Foreign Exchanges,ramming Contest 2013. We focus on a description of the strategies and on an analysis of the matches. We also evaluate our experiences with the GOAL agent programming language. Our strategies worked well in general and we earned a second place in the contest only losing to the winning team. Finally w

Decongestant

Deborah Wells Rowe,Mary E. Millerhe “Multi-Agent Programming Contest” (MAPC). This is the third year of the “Agents on Mars” scenario, in which the competitors must design a team of agents to find and occupy the best zones of a weighted graph. The team was developed using the . multi-agent framework and it is an improvement of the

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Conference proceedings 2013, USA, in May 2013. The 19 full papers were carefully reviewed and selected from 30 submissions. The focus of the papers is on following topics: agent-oriented software engineering, declarative agent languages and technologies, and programming multi-agent systems.

capsule

IST

https://doi.org/10.1057/9781137598738a business process use case, and a number of Camel routes are presented. These demonstrate the benefits of interfacing agents to external services via a specialised message routing tool that supports enterprise integration patterns.

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Manipulation of Long-Term Interest Rates,d features in other agent frameworks is one of the reasons for the slow acceptance of agent technology in the software industry. The JIAC V framework tries to bridge that gap—not as a final solution, but as a stepping stone towards industrial acceptance.