| Drogoul, A., Zucker, J.D.: Methodological Issues for Designing Multi-Agent Systems with Machine Learning Techniques: Capitalizing Experiences from the RoboCup Challenge http://citeseer.nj.nec.com (1999) |
....to Role Responsabilities and Collaborators. In [24] a seven layered architectural pattern for agent is presented. The seven layers are: mobility, translation, collaboration, actions, reasoning, beliefs and sensory. This architecture is dedicated for mobile agents. Cassiopeia [5] and Andromeda [9] use role notion and propose a step by step methodology in order to design MAS. Andromeda is an enrichment of Cassiopeia. Indeed, it deals with machine learning techniques for MAS. These methodologies are oriented towards the design of reactive MAS. The MaSE methodology [6] insist on the ....
A. Drogoul and J. Zucker. Methodological issues for designing multi-agent systems with machine learning techniques: Capitalizing experiences from the robocup challenge, 1998.
....deliberation, representation and manipulation of mental states, and mobility, among others. The construction of agents involves several steps from their conception to the execution of code. In order to make easier that process, models [31, 34] architectures [28, 19, 2] and methodologies [11, 12] have been proposed. Models define a general structure and the relationships among the main components; software architectures gives more detail, specifying how the components interact through specific protocols; finally, methodologies define steps to follow using models, architectures and so on ....
A. Drogoul and J.-D. Zucker. Methodological issues for designing multi-agent systems with machine learning techniques: Capitalizing experiences from the robocup challenge. Technical Report LIP6 1998/041, Laboratoire d'Informatique de Paris 6, October 1998.
....and can perform any domain function (e.g. numerical calculations, information retrieval, optimization) 3. 9 The Cassiopeia Methodology The Cassiopeia as the MAS method is a way to address a type of problem solving where collective behaviours are put into operation through a set of agents [10]. The first step of Cassiopeia consists in identifying the required level of abstraction so that the behaviours make sense with respect to the collective achievement of the task: the designer specifies the sets of behaviours that achieve proper functionalities, and thus determines the individual ....
Drogoul, A., Zucker, J.D.: Methodological Issues for Designing Multi-Agent Systems with Machine Learning Techniques: Capitalizing Experiences from the RoboCup Challenge http://citeseer.nj.nec.com (1999)
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A. Drogoul and J. Zucker. Methodological issues for designing multi-agent systems with machine learning techniques: Capitalizing experiences from the robocup challenge. Technical Report LIP6 1998/041, Laboratoire d'Informatique de Paris 6, 1998.
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