We describe Utile Coordination, an algorithm that allows a multiagent system to learn where and how to coordinate. The method starts with uncoordinated learners and maintains statistics on expected returns. Coordination dependencies are dynamically added if the statistics indicate a statistically significant benefit. This results in a compact state representation because only necessary coordina...

Interconnected systems have become the recent focus of intense investigation, particularly in the context of autonomous coordination, yielding fundamental advantages in adaptability, scalability, and efficiency compared to single-agent solutions. In this thesis, we investigate the topological assumptions that underly distributed multi-agent coordination, i.e., those properties defining interact...

Approaches to the coordination of multiagent systems (MAS) have been recently classified as subjective – typically coming from the distributed artificial intelligence (DAI) –, and objective – coming from the community of Coordination Models and Languages. Subjective and objective approaches have a very different impact on the engineering of social aspects of MAS, in particular with respect to t...

Purpose – Smart spaces are open complex computing systems, consisting of a large variety of cooperative smart things. Central to building smart spaces is the support for sophisticated coordination among diverse smart things collaborating to accomplish specified tasks. Multi-agent systems are often used as the software infrastructures to address the coordination issue in smart spaces. However, s...

The Internet is rapidly becoming the privileged environment for today’s Multi-Agent Systems. This introduces new issues in MAS’ design and development, from both a conceptual and a technological viewpoint. In particular, the dichotomy between the openness of the execution environment and the need for secure execution models makes governing agents’ interaction a really complex matter, especially...

Distributed constraint optimization problems (DCOPs) are a model for representing multi-agent systems in which agents cooperate to optimize a global objective. The DCOP model has two main advantages: it can represent a wide range of problem domains, and it supports the development of generic algorithms to solve them. Firstly, this paper presents some advances in both complete and approximate DC...

Agent-based systems provide hope for solving a wide variety of distributed problems. One key aspect of agentbased system is coordinating agent actions to achieve coherent behavior. For example, in concurrent engineering (CE), it is necessary to ensure that the individual decision made by constituents in a design organization achieve overall organizational objectives (e.g., increase market share...

Mobile active computational entities introduce peculiar problems in the coordination of distributed application components. The paper surveys several coordination models for mobile agent applications and outlines the advantages of uncoupled coordination models based on reactive blackboards. On this base, the paper presents the design and the implementation of the MARS system, a coordination too...

This paper presents a holonic co-ordination server which is made up of a recursive hierarchy of three different agent types: On the top stands an agent providing matchmaking services and representing the co-ordination server to the outside. It passes incoming requests to a subordinated agent type that is equipped with co-ordination mechanisms such as auctions, negotiations and coalition formati...

Inclusion of Agents in the domain of managing traffic and its real time demand of coordination and cooperation is proven quite promising. Agent oriented traffic coordination helps in improving traffic management and in achieving efficiency of vehicle movement. Today with rapid urbanization and increasing number of vehicles traffic congestion has emerged out as a serious bottleneck. Automated ve...