We suggest a novel way for formalizing knowledge and belief of intelligent agent and argue that this is the notion we need to formalize agents in Distributed Artificial Intelligence. We introduce the notion of algorithmic knowledge — a concept that is suited for establishing a direct link between and agent’s available resources and his knowledge. We show that our concept of knowledge is useful ...

Companies operate in an environment increasingly demanding in terms of flexibility and reactivity. The introduction of the entities resulting from Distributed Artificial Intelligence (DAI) and Multi-Agent Systems (MAS) in the management of enterprises prove to be an interesting technology to simulate and reproduce the collaborative and adaptive behaviors of enterprises. This article models the ...

Task allocation is a fundamental problem that any multirobot system must address. Numerous multi-robot task allocation schemes have been proposed over the past decade. A vast majority of these schemes address the problem of assigning a single robot to each task. However as the complexity of multi-robot tasks increases, often situations arise where multiple robot teams need to be assigned to a s...

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This paper motivates, from historical, philosophical, and industrial points of view, the adoption of a novel scheme for developing complex measuring systems as perceptive agencies. The general concept of agency, a cooperative multiagent system defined within distributed artificial intelligence and robotics, is discussed together with its particular application to the field of intelligent instru...

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This report documents the program and the outcomes of Dagstuhl Seminar 17261 “Voting: Beyond simple majorities and single-winner elections”. The seminar featured five survey talks, a series of classic scientific presentations, working group discussions, open problems sessions (with the first one used to establish working groups and the last one to present their results). The seminar was mostly ...

The study of the collaboration, coordination and negotiation among different agents in a multi-agent system (MAS) has always been the most challenging yet popular in the research of distributed artificial intelligence. In this paper, we will suggest for RoboCup simulation, a typical MAS, a general decision-making model, rather than define a different algorithm for each tactic (e.g. ball handlin...

Fundamental to the operation of multi-agent systems is the concept of cooperation between individual agents by which the overall system exhibits signi cantly greater functionality than the individual components. Not only is it important to understand the structure of such relationships in multi-agent systems, it is also important to understand the ways in which cooperative relationships come ab...