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Moulin, B. and L. Cloutier, "Collaborative work based on multiagent architectures: a methodological perspective," Soft Computing: Fuzzy Logic, Neural Networks and Distributed Artificial Intelligence, 1994. 261-296: Prentice Hall.

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Design & Specification of Dynamic, Mobile, and Reconfigurable.. - Self (2001)   (Correct)

....scenarios, agent s roles and their main knowledge structures. A scenario (or script) is a narrative, a graphical or a visual description of what people do when they perform tasks. Each scenario is specified as a set of roles that are played by agents involved in that scenario. Behavioral diagrams [14] are then used to precisely describe the scenarios. These diagrams outline the scenario in terms of agent roles and activities, local information or knowledge stores and their contributions to activities, and interactions with other agents playing specific roles. Then, the local information or ....

Moulin, B. and L. Cloutier, "Collaborative work based on multiagent architectures: a methodological perspective," Soft Computing: Fuzzy Logic, Neural Networks and Distributed Artificial Intelligence, 1994. 261-296: Prentice Hall.


Analysis and Design of Multiagent Systems using.. - Iglesias, Garijo.. (1998)   (19 citations)  (Correct)

....the CommonKADS framework. Kendall [16] proposes another AO methodology based on OO and enterprise modelling techniques. The use case model is very similar to our internal use cases. Coordination and knowledge modelling are not so well developed and the process development is not very clear. MASB [20, 21] proposes an AO methodology that covers analysis and design. The behaviour diagrams are similar to the internal use case diagrams, and it proposes a new graphical notation (perhaps too complex) for modelling the agents. The conversation modelling is only mentioned. CoMoMAS [10] proposes also an ....

B. Moulin and L. Cloutier. Collaborative work based on multiagent architectures: A methodological perspective. In Fred Aminzadeh and Mohammad Jamshidi, editors, Soft Computing: Fuzzy Logic, Neural Networks and Distributed Artificial Intelligence, pages 261--296. Prentice-Hall, 1994.


A Survey of Agent-Oriented Methodologies - Iglesias, Garijo, Gonzalez (1999)   (70 citations)  (Correct)

....dimension. Procedures for modelling these social relationships between agents have to be defined. 2. 3 Existing solutions In this section the followingagent oriented methodologies are reviewed: Agent Oriented Analysis and Design [5] Agent Modelling Technique for Systems of BDI agents [27] MASB [31, 32] and Agent Oriented Methodology for Enterprise Modelling [24] Agent Oriented Analysis and Design by Burmeister Burmeister [5] defines three models for analysing an agent system: the agent model. that contains the agents and their internal structure (beliefs, plans, goals, the ....

....using a graphical notation similar to Harel statecharts [18] but adding the notion of failure of the plan. Finally, the beliefs of the agent about the objects of the environment are modelled and represented using OMT notation. Multi Agent Scenario Based Method (MASB method) This method [31, 32] is intended to be applied for MAS in the field of cooperative work (CSCW) The analysis phase consists of the following activities: Scenario description: identification using natural language of the main roles played by both the human and the software agents, objects of the environment and ....

B. Moulin and L. Cloutier. Collaborative work based on multiagent architectures: A methodological perspective. In Fred Aminzadeh and Mohammad Jamshidi, editors, Soft Computing: Fuzzy Logic, Neural Networks and Distributed Artificial Intelligence, pages 261--296. Prentice-Hall, 1994.

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