Flexible Hierarchical Organisation of Role Based Agents

Adam, Emmanuel; Strugeon, Emmanuelle Grislin-Le; Mandiau, René

doi:10.1109/sasow.2008.27

Cited by 12 publications

(8 citation statements)

References 5 publications

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“…However, for implementing cooperative design approaches, related to dynamic situations, complex, multifaceted, it is necessary to provide interactive simulation tools that are more intuitive than the current tools, allowing different actors (e.g., decision-makers) to think together and react to changes in context. This paper explores interactive tables 1 , associated with tangible objects. Our case study concerns road traffic management.…”

Section: The Problem: a Need For More Intuitive Cooperative Design Toolsmentioning

confidence: 99%

Simulation in contexts involving an interactive table and tangible objects

Kubicki

Lebrun

Lepreux

et al. 2013

Simulation Modelling Practice and Theory

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By using an interactive table, it is possible to interact with several people (decision-makers) in a simultaneous and collaborative way, around the table, during a simulation session. Thanks to the RFID technology with which the table is fitted, it is possible to give tangible objects a unique identity to include and to consider them in the simulation. The paper describes a context model, which takes into consideration the specificities related to interactive tables. The TangiSense interactive table is presented; it is connected to a Multi-Agent System making it possible to give the table a certain level of adaptation: each tangible object can be associated to an agent which can bring roles to the object (i.e., the roles are the equivalent of a set of behaviors). The Multi-Agent System proposed in this paper is modelled according to an architecture adapted to the exploitation of tangible and virtual objects during simulation on an interactive table. A case study is presented; it concerns a simulation of road traffic management. The illustrations give an outline of the potentialities of the simulation system as regards the context-awareness aspect, following both the actions of the decision-makers implied in simulation, and the agents composing the road traffic simulation.

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Section: The Problem: a Need For More Intuitive Cooperative Design Toolsmentioning

confidence: 99%

Simulation in contexts involving an interactive table and tangible objects

Kubicki

Lebrun

Lepreux

et al. 2013

Simulation Modelling Practice and Theory

Self Cite

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“…2 When a goal is decomposed into two subgoals, the parent goal is linked to its children with two edges and the name of the decomposition operator is written between both edges. If a goal is decomposed into one subgoal (this is the case with the I ter operator), the name of the operator is written near the edge.…”

Section: Graphical Representationmentioning

confidence: 99%

“…These organisations can be human organisations [2] or organisations of agents [14,20]. The aim of the latter is to propose a very general but simple framework which can be used to specify most of the proposed models for organisational structuring in multiagent systems such as teams [9,35], roles and organisations [15] or roles and permissions [29].…”

Section: Motivation Of the Recursive Modelmentioning

confidence: 99%

“…In several models, an agent can be a content agent of several subagents [2,18,20]. Moreover, in these models, the recursive structure changes dynamically.…”

Section: Expressivenessmentioning

confidence: 99%

“…This is well suited to model organisations, a goal of most of these models, but it makes proofs harder, and we chose a less expressive model to increase the success rate of proofs. To simplify proofs once again, our content agents are not visible outside their context, contrary to most holonic systems [2,17] and to the model presented in [20]. This makes the model more compositional, maximizing reuse and compositionality (let recall that compositionality is a key concept to verify multiagent systems).…”

Section: Expressivenessmentioning

confidence: 99%

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Specifying recursive agents with GDTs

Mermet

Simon

2010

Auton Agent Multi-Agent Syst

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The purpose of this article is to formalise the notion of recursive agent by extending the Goal Decomposition Tree formalism (GDT). A formal semantics of this decomposition is given, as well as the definition of operators to introduce various ways of recursively defining agents. Design patterns, that show various use cases for recursive agents, are also presented. Finally, to preserve the essential GDT characteristics (that is to allow the verification of agents behaviours), we give proof schemas that allow a proof of the correctness of a recursive agent.

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