2011
DOI: 10.1007/s10458-010-9164-z
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IODA: an interaction-oriented approach for multi-agent based simulations

Abstract: Multi-Agent Systems (MAS) design methodologies and Integrated DevelopmentEnvironments exhibit many interesting properties that also support simulation design. Yet, in their current form, they are not appropriate enough to model Multi-Agent Based Simulations (MABS). Indeed, their design is focused on the functionalities to be achieved by the MAS and the allocation of these functionalities among software agents. In that context, the most important point of design is the organization of the agents and how they co… Show more

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Cited by 58 publications
(53 citation statements)
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References 36 publications
(51 reference statements)
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“…Examples of this trend are EASS (Environment As Active Support for Simulation) [2], IODA (Interaction Oriented Design of Agent simulations) [11], the environment-centered approach for MABS proposed in [19] and artifact approach [21].…”
Section: The Gpu Environmental Delegation Principlementioning
confidence: 99%
“…Examples of this trend are EASS (Environment As Active Support for Simulation) [2], IODA (Interaction Oriented Design of Agent simulations) [11], the environment-centered approach for MABS proposed in [19] and artifact approach [21].…”
Section: The Gpu Environmental Delegation Principlementioning
confidence: 99%
“…PADAWAN is a multi-level multi-agent model for simulation, allowing agents to get relations in several environments. It relies upon an interaction-oriented approach (IODA) [12]. The expression of agents' behaviour in the IODA formalism is based on interactions, that describe through a condition/action rule a behaviour that occurs between two entities.…”
Section: 2mentioning
confidence: 99%
“…It aims at demonstrating the capabilities of the design principles and algorithms we promote through the Interaction-Oriented approach, the IODA method [2,3], especially for video game applications. Actually, this simulation presents an application of the IODA method to a 3D space battle, involving several kinds of spacecrafts.…”
Section: At the Computer Science Laboratory (Lifl)mentioning
confidence: 99%
“…The resulting simulation model is summarized in the interaction matrix below (for more details about this approach, please refer to [3]): Table 1. This interaction matrix describes which interactions are assigned to source/target agent families.…”
Section: Main Purposementioning
confidence: 99%
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