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Formalising Situatedness and Adaptation in Electronic Institutions
"... 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 popul ..."
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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. 1
The Agent Environment in Multi-Agent System: A Middleware Perspective
- International Journal on Multiagent and Grid Systems, Special Issue
, 2008
"... Interaction is at the core of multi-agent systems. We use agent envi-ronment as a general term to denote the medium for agent interaction. Over the last years, the agent environment has been subject of active research. In this paper, we reflect on the role of the agent environment in multi-agent sys ..."
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Interaction is at the core of multi-agent systems. We use agent envi-ronment as a general term to denote the medium for agent interaction. Over the last years, the agent environment has been subject of active research. In this paper, we reflect on the role of the agent environment in multi-agent systems from a middleware perspective. Our study yields the following observations: (1) multi-agent system engineers consider dis-tributed middleware (RMI, CORBA, etc.) as the basic platform for de-veloping multi-agent systems, (2) common middleware services (security, persistency, etc.) are only minimally considered in multi-agent systems, (3) domain-specific middleware for multi-agent systems such as commu-nication services and support for stigmergic coordination are typically developed as stand-alone services and as such difficult to compose with other services. From these observations, we derive a number of challenges for research on environments in multi-agent systems: (1) to amplify reuse, application-specific services should be further consolidated into domain-specific ser-vices, (2) the problem of integration must be tackled, i.e. horizontal inte-gration among domain-specific services for multi-agent systems, and ver-tical integration of domain-specific services upwards with the agents, and downwards with the common middleware services and the underlying dis-tributed platform, (3) to support dynamic changing requirements of the system at hand, flexible composition and dynamic adaptation of services must be supported by the agent environment.
Property Based Coordination
"... Abstract. For a multiagent system (MAS), coordination is the assumption that agents are able to adapt their behavior according to those of the other agents. The principle of Property Based Coordination (PBC) is to represent each entity composing the MAS by its observable properties, and to organize ..."
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Abstract. For a multiagent system (MAS), coordination is the assumption that agents are able to adapt their behavior according to those of the other agents. The principle of Property Based Coordination (PBC) is to represent each entity composing the MAS by its observable properties, and to organize their perception by the agents. The main result is to enable the agents to have contextual behaviors. In this paper, we instantiate the PBC principle by a model, called EASI-Environment as Active Support of Interaction-, which is inspired from the Symbolic Data Analysis theory. It enables to build up an interaction as a connection point between the needs of the initiator, those of the receptor(s) and a given context. We demonstrate that thanks to PBC, EASI is expressive enough to instantiate other solutions to the connection problem. Our proposition has been used in the traveler information domain to develop an Agent Information Server dynamically parameterized by its users. 1
Contextual activation for agent-based simulation
"... 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 sepa-rate the activation phase from the action phase of the agents, and each acti ..."
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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 sepa-rate 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, be-cause 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 con-text is analysed inside the environment and conditions the activation of the agents. The main result of contex-tual 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. Keywords—agent-based simulation, environment, con-textual activation
14+ MILLION TOP 1% MOST CITED SCIENTIST 12.2% AUTHORS AND EDITORS FROM TOP 500 UNIVERSITIES Chapter from the book Multi-Agent Systems -Modeling, Interactions, Simulations and Case Studies Downloaded from: http://www.intechopen.com/books/multi-agent-system
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