Cooperation between distributed agents through self-organisation

Steels, Luc

doi:10.1109/iros.1990.262534

Cited by 113 publications

(110 citation statements)

References 5 publications

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“…The alternative suggested by (Steels, 1990) aims to make this functionality emerge from the interactions between the agents. The advantages of the "emergent functionality" approach are first of all a reinforcement of the robustness of the system : it is less sensitive to the changes of the environment.…”

Section: Emergencementioning

confidence: 99%

Using Organizational Structures Emergence for Maintaining Functional Integrity in Embedded Systems Networks

Jamont

Occello

2004

IFIP International Federation for Information Processing

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Section: Emergencementioning

confidence: 99%

Using Organizational Structures Emergence for Maintaining Functional Integrity in Embedded Systems Networks

Jamont

Occello

2004

IFIP International Federation for Information Processing

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“…To illustrate how the subsumption architecture in more detail, we will show how subsumption architecture agents were built for the following scenario (this example is adapted from [53]):…”

Section: Reactive Architecturesmentioning

confidence: 99%

“…Luc Steels argues that logic-based agents, of the type we described above, are "entirely unrealistic" for this problem [53]. Instead, he proposes a solution using the subsumption architecture.…”

Section: The Objective Is To Explore a Distant Planet More Concretelmentioning

confidence: 99%

Intelligent Agents: The Key Concepts

Wooldridge

2002

Multi-Agent Systems and Applications II

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Abstract. This chapter aims to introduce the reader to the basic issues surrounding the design and implementation of intelligent agents. It begins by motivating the idea of an agent, presents a definition of agents and intelligent agents. The article then goes on to discuss four major approaches to building agents. First, logic based architectures are reviewed, in which decision-making is viewed as logical deduction. Second, reactive architectures are discussed, in which symbolic representations and models are eschewed in favour of a closer relationship between agent perception and action. Third, we discuss belief-desire-intention architectures, in which decision making is viewed as practical reasoning from beliefs about how the world is and will be to the options available to an agent, and finally to intentions and actions. Fourth, we review layered agent architectures, in which decision making is partitioned into a number of different decision making layers, each dealing with the agent's environment at a different level of abstraction.

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“…This means that the rules have been chosen by hand. However, many "automatic" methods for designing this type of robot behaviors can be found in the literature, ranging from the mathematical methods (Steels, 1990) to neural networks (Maes and Brooks, 1990) or genetic algorithms (Koza, 1991). For instance, good results have been obtained in previous work using the last method (Matellán et al, 1995b).…”

Section: Skillsmentioning

confidence: 99%

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Olivera

Borrajo

2001

Journal of Intelligent and Robotic Systems

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Abstract. This paper presents a model for the control of autonomous robots that allows cooperation among them. The control structure is based on a general purpose multi-agent architecture using a hybrid approach made up by two levels. One level is composed of reactive skills capable of achieving simple actions by their own. The other one uses an agenda used as an opportunistic planning mechanism to compound, activate and coordinate the basic skills. This agenda handles actions both from the internal goals of the robot or from other robots. This two level approach allows the integration of real-time response of reactive systems needed for robot low-level behavior, with a classical high level planning component that permits a goal oriented behavior. The paper describes the architecture itself, and its use in three different domains, including real robots, as well as the issues arising from its adaptation to the RoboCup simulator domain.

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Cooperation between distributed agents through self-organisation

Cited by 113 publications

References 5 publications

Using Organizational Structures Emergence for Maintaining Functional Integrity in Embedded Systems Networks

Using Organizational Structures Emergence for Maintaining Functional Integrity in Embedded Systems Networks

Intelligent Agents: The Key Concepts

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