Olivier Boissier and Yves Demazeau. ASIC: An architecture for social and individual control and its application to computer vision. In Yves Demazeau, Jean-Pierre Muller, and John Perram, editors, Preproceedings of the 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, pages 107--118, Odense, Denmark, August 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....about the others 2 [15, 30] This representation is a private one, whose acquisition may be originated from di erent sources like perception (acquisition from the environment) communication (acquisition from the interaction with the others) and inference. Our agent model is based on ASIC model [3, 4], and it is presented in gure 1. Its complete formal description is out of context here, and it is described in [3, 31] An agent is composed of several internal mechanisms, 2 In [31] we justify the choice of this term, as other authors call this representation acquaintance model. 4 one of ....

Olivier Boissier and Yves Demazeau. ASIC: An architecture for social and individual control and its application to computer vision. In Yves Demazeau, Jean-Pierre Muller, and John Perram, editors, Preproceedings of the 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, pages 107-118, Odense, Denmark, August 1994.

....may be found in [8] form some action to control some resource, which the reasoning agent can not perform control. 2.1 Agent Model A social reasoning mechanism is an essential building block for really autonomous agents. In [8] we have proposed an agent model, inspired by the ASIC model [1], which exploits several aspects of this mechanism, like for instance dependence based coalition formation. A detailed description of this model is out of scope here, but we need to present some of its essential aspects, in order to enable the comprehension of the next sections: ffl agents do not ....

Olivier Boissier and Yves Demazeau. ASIC: An architecture for social and individual control and its application to computer vision. In Yves Demazeau, Jean-Pierre Muller, and John Perram, editors, Pre-proceedings of the 6th MAAMAW, pages 107--118, Odense, Denmark, August 1994. 12 Supposing that both of them are achievable.

....are able to perform some action to control some resource, which the reasoning agent can not perform control. 2.1 Agent Model A social reasoning mechanism is an essential building block for really autonomous agents. In (Sichman, 1995) we have proposed an agent model, inspired by the ASIC model (Boissier and Demazeau, 1994), which exploits several aspects of this mechanism, like for instance dependence based coalition formation. A detailed description of this model is out of scope here, but we need to present some of its essential aspects, in order to enable the comprehension of the next sections: agents do not ....

Boissier, Olivier and Yves Demazeau (1994). ASIC: An architecture for social and individual control and its application to computer vision. In: Pre-proceedings of the 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World (Yves Demazeau, Jean-Pierre Muller and John Perram, Eds.).

....the complete system. Recent research has indicated that modelling vision systems as societies of autonomous agents is a promising approach to tackle these objectives. In [2] Boissier and Demazeau have proposed a multi agent system for visual integration, called MAVI, which is based on the ASIC [3] multi agent control architecture. This architecture is subdivided into different processing layers. Following the purposive vision paradigms Bianchi and Rillo [4] have inspired a multi agent vision system employing a behaviour based decomposition in specific tasks, while Yanai and Deguchi [5] ....

O. Boissier and Y. Demazeau. Asic: An architecture for social and individual control and its application to computer vision. In Proc. European Workshop on Modelling Autonomous Agents in a Multi-Agent World, pages 107--118, 1994.

.... world through perception and action; Elfes [5] Distributed Control Architecture, where a system is divided into processing levels and where independent processes communicate through a blackboard; and Boissier and Demazeau works on the ASIC Multi Agents Control Architecture [6] and the MAVI system [7], which integrate different visual modules using MAS theory. Rivlin et al. 8] and Aloimonos [1] also inspired this work. Aloimonos [1] works raise a criticism to Brooks architecture, observing the lack of cooperation between low and high level processes. This criticism stimulated a large portion ....

....resources. Finally, the authority structure has a logic nature, while the communication network has a physical nature. An empirical division of the system is proposed, based on Brooks Task Decomposition [4] and Rivlin [8] to map intentions into behaviors, and based on Boissier and Demazeau [6] [7] to split behaviors in tasks. The definition of an autonomous agent is one of the main features of the proposed architecture and is viewed below. 3.1. Autonomous Agents (AAs) In this architecture the autonomous agents (AA) are modeled based on DAI MAS theory, and its definition is Agent ....

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BOISSIER, O; DEMAZEAU, Y. ASIC: An architecture for social and individual control and its application to Computer Vision. In: EUROPEAN WORKSHOP ON MODELING AUTONOMOUS AGENTS IN A MULTIAGENT WORLD, 1994. Proceedings. 1994. p.107-18.

....within a society. 2 Agents and Coalitions In this section, we present the agent model that we have used and some principles which were adopted in their design. We also explain the dynamical organization of these latter within a society. 2. 1 Agent Model Our agent model is based on ASIC model [2, 3], and it is presented in figure 1. RS CS DS environment other agents Sending Receiving Perceiving Revising Deciding Reasoning External Description Social Reasoning Agent Acting Figure 1: Agent Model Its complete formal description is out of context here, and it is described in ....

Olivier Boissier and Yves Demazeau. ASIC: An architecture for social and individual control and its application to computer vision. In Yves Demazeau, Jean-Pierre Muller, and John Perram, editors, Preproceedings of the 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, pages 107--118, Odense, Denmark, August 1994.

....within a society. 2 Agents and Coalitions In this section, we present the agent model that we have used and some principles which were adopted in their design. We also explain the dynamical organization of these latter within a society. 2. 1 Agent Model Our agent model is based on ASIC model [2, 3], and it is presented in figure 1. RS CS DS environment other agents Sending Receiving Perceiving Revising Deciding Reasoning External Description Social Reasoning Agent Acting Figure 1: Agent Model Its complete formal description is out of context here, and it is described in ....

Olivier Boissier and Yves Demazeau. ASIC: An architecture for social and individual control and its application to computer vision. In Yves Demazeau, Jean-Pierre Muller, and John Perram, editors, Preproceedings of the 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, pages 107--118, Odense, Denmark, August 1994.

....= Fonction(Agents) Collective Fonction the declarative equation the functional equation the recursion principle The three sides of the research. As for being able to tackle our research issues, the work has been academically splitted in two parts [Demazeau 91b] The COHIA part (e.g. Boissier 94b] studies mainly deal with the study of the internal agent architectures (mainly cognitive ones) while the PACO part (e.g. Demazeau 91a] Demazeau 93] studies mainly deal with the study of the external behaviour of agent groups (mainly reactive ones) evolving in a multi agent world. This ....

....(mainly reactive ones) evolving in a multi agent world. This splitting might appear unclear, but in fact, when thinking to PACO as dealing with the study of the internal model of a society of agents, and remembering the recursion principle, it becomes obvious [Boissier 92] The agent models [Boissier 94b] Occello 94] the environment models, the interaction models [Berthet 92] Populaire 93] Demazeau 94a] the organisation models [Sichman 94] are constituting as many toolboxes for the MAGMA integrative environment which ensures the computational assembling of the selected models when building ....

[Article contains additional citation context not shown here]

O. Boissier & Y. Demazeau "ASIC: An Architecture for Social and Individual Control and its Application to Computer Vision", 6 th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, Odense Science Park, Odense, 1994.

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O. Boissier and Y. Demazeau. Asic: An architecture for social and individual control and its application to computer vision. In Proc. European Workshop on Modeling Autonomous Agents in a Multi-Agent World, pages 107-118, 1994.

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