Environment as Active Support of Interaction

Balbo, Flavien; Badeig, Fabien

doi:10.1007/978-3-540-71103-2_5

Cited by 12 publications

(12 citation statements)

References 16 publications

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“…In this sense, EI's scenes can be regarded as a way of grouping agents that can interact together, which can be interpreted as a virtual location that restricts their perception. EASI model [17] goes a step further, and additionally lets agents determine which element they want to perceive. They sustain this approach exposing that awareness is an active state.…”

Section: Related Workmentioning

confidence: 99%

Formalising Situatedness and Adaptation in Electronic Institutions

Campos

López-Sánchez

Rodŕıguez-Aguilar

et al. 2009

Coordination, Organizations, Institutions and Norms in Agent Systems IV

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Abstract. Similarly to institutions in human societies, an Electronic Institution (EI) provides a structured framework for a Multi-Agent System (MAS) to regulate agents' interactions. However, current EIs cannot regulate a previously existing dynamic social system and deal with its agent population behaviour changes. This paper suggests a solution consisting of two EI extensions to incorporate situatedness and adaptation to the institution. These two properties are usually present at an agent level, but this paper studies how to bring them to an organisational level. While exposing our approach, we use a tra c scenario example to illustrate its concepts.

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Section: Related Workmentioning

confidence: 99%

Formalising Situatedness and Adaptation in Electronic Institutions

Campos

López-Sánchez

Rodŕıguez-Aguilar

et al. 2009

Coordination, Organizations, Institutions and Norms in Agent Systems IV

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“…By providing observable entities and sharable communications, the environment is believed to be able to raise the level of awareness of interactions among agents [11]. In surveys of the notion and use of the environment in MAS, the environment is found potentially useful as mediation or channel for flexible agent interaction [10].…”

Section: Agent 3bmentioning

confidence: 99%

Environment support for developing and configuring adaptive agents

Xiao

Greer

2009

MGS

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Abstract. Adaptivity is very often an important goal for software systems. This paper reviews existing approaches to achieving adaptivity in object oriented systems, particularly those using design patterns, and concludes that there are further opportunities for improving adaptivity in agent systems. The approach described proposes that agents should be coupled with the environment, rules and laws about agent behaviour being externalised in a continuously re-configurable knowledge repository. Tools have been implemented to support the re-configuration. Once new requirements are specified by business experts via the tools, the system automatically adapts its behaviour in the environment, without additional effort from developers. This novel approach pulls together a knowledgebase, configuration tools, and business experts as an integral environment through which the MAS achieves re-configurability ranging from overall infrastructure to individual policy sets. This fosters cost effective software evolution because much of the effort resulting from changes to business strategies and collaborations can be shifted from developers to customers, code change not being required since the environment maintains the dynamics instead.

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“…The second category includes the activation filters that link the context to the activation of agents. In order to keep a homogeneous model for interaction and activation management, the definition of a filter is built using the Symbolic Data Analysis (SDA) theory [2] (for more details see [11]). …”

Section: Formal Descriptionmentioning

confidence: 99%

“…As in the interaction model EASI [11], the filters belong to the set F. However, as described above, there are more than one kind of filter in the EASS model. Some of these filters are necessary for interaction, others for activation.…”

Section: Simulation Controlmentioning

confidence: 99%

Contextual Activation For Agent-Based Simulation

Badeig¹,

Balbo²,

Pinson³

2007

ECMS 2007 Proceedings Edited By: I. Zelinka, Z. Oplatkova, A. Orsoni

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Abstract-When designing agent-based simulation, the choice of a coordination model is a key issue, since one of the difficulties is to link the activation of the agents with their context efficiently. Current solutions separate the activation phase from the action phase of the agents, and each action phase is based on local agent context analysis which is time-expensive. Moreover, because the link between the context and the action is an internal part of the agent, it is more difficult to modify the way the agent reacts to the context without altering the way the agent is implemented. Our proposal, called EASS (Environment as Active Support for Simulation), is a new approach for agent activation, where the context is analysed inside the environment and conditions the activation of the agents. The main result of contextual activation is to simplify the achievement of complex simulations and to decrease run-time. The EASS model has been implemented within the kernel of MadKit, a multi-agent platform, and the first results are given.

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Environment as Active Support of Interaction

Cited by 12 publications

References 16 publications

Formalising Situatedness and Adaptation in Electronic Institutions

Formalising Situatedness and Adaptation in Electronic Institutions

Environment support for developing and configuring adaptive agents

Contextual Activation For Agent-Based Simulation

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