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

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Engineering Multi-Agent Systems978-3-642-45343-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1057/9781137345257 of complex systems such as pervasive computing ones critically depends on the availability and effectiveness of agent-oriented .. Accordingly, in this paper we take SAPERE pervasive service ecosystems as a reference, and introduce a novel agent-oriented approach aimed at engineering SAPERE systems as multi-agent systems.

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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 Mars” scenario.

CRAB

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 we provide some suggestions for future contests.

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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 system used in the last year contest.

PLUMP

Deciding between Conflicting Influences,es a logic for qualitative decision theory proposed by Boutilier to express such notions. To make readily use of this we describe a simple method for generating preference and expectation models that respect certain rules provided by the agents, and we briefly discuss how to integrate the approach into an existing agent programming language.

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