Social plans: a preliminary report (abstract)

Rao, Anand S.; Georgeff, Michael P.; Sonenberg, Ea

doi:10.1145/152683.152689

Cited by 36 publications

(39 citation statements)

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“…Rao et al [60] specify characteristics of the environment for a broad class of agent system application domains: (1) at any instant in time there are potentially many different ways in which the environment can evolve; (2) at any instant in time there are potentially many different actions possible; (3) different objectives may not be simultaneously achievable; (4) the actions that best achieve the various objectives are dependent on the state of the environment (context); (5) the environment can only be sensed locally; (6) the rate at which computations and actions can be carried out is within reasonable bounds to the rate at which the environment evolves. Rao and his colleagues describe the typical characteristics of the external world in which agent systems are deployed and with which the agent systems interact.…”

Section: Environment Definitions In Literaturementioning

confidence: 99%

Environment as a first class abstraction in multiagent systems

Weyns

Omicini

Odell

2006

Auton Agent Multi-Agent Syst

332

205

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The current practice in multiagent systems typically associates the environment with resources that are external to agents and their communication infrastructure. Advanced uses of the environment include infrastructures for indirect coordination, such as digital pheromones, or support for governed interaction in electronic institutions. Yet, in general, the notion of environment is not well defined. Functionalities of the environment are often dealt with implicitly or in an ad hoc manner. This is not only poor engineering practice, it also hinders engineers to exploit the full potential of the environment in multiagent systems.In this paper, we put forward the environment as an explicit part of multiagent systems. We give a definition stating that the environment in a multiagent system is a first-class abstraction with dual roles: (1) the environment provides the surrounding conditions for agents to exist, which implies that the environment is an essential part of every multiagent system, and (2) the environment provides an exploitable design abstraction for building multiagent system applications. We discuss the responsibilities of such an environment in multiagent systems and we present a reference model for the environment that can serve as a basis for environment engineering. To illustrate the power of the environment as a design abstraction, we show how the environment is successfully exploited in a real world application. Considering the environment as a first-class abstraction in multiagent systems opens up new horizons for research and development in multiagent systems.

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Section: Environment Definitions In Literaturementioning

confidence: 99%

Environment as a first class abstraction in multiagent systems

Weyns

Omicini

Odell

2006

Auton Agent Multi-Agent Syst

332

205

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“…The development of normative architectures is a burgeoning research field. However, architectures of normative agents are predominantly inspired in some way by BDI (Belief-Desire-Intention) architectures, introduced by the pivotal work of Rao and Georgeff ( [10]), which can be regarded as the point of departure for further developments. The BDI framework is intended to model human intelligent action and decision-making.…”

Section: Normative Agentsmentioning

confidence: 99%

The Immergence of Norms in Agent Worlds

Conte

Andrighetto

Campennì

2009

Engineering Societies in the Agents World X

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Abstract. In this paper, after a short review of the dichotomous view of norms usually seen as either regular behaviors or obligations issued by authorities, norms are proposed to be defined as recognized, represented and reasoned upon prescriptive commands. A normative agent architecture -EMIL-A -is presented and shown to account for a complex bidirectional dynamics of norms as social phenomena that emerge because and to the extent that they immerge in the agents' minds. Simulations run using EMIL-A will be discussed to illustrate the advantages of the present treatment of norms, over either side of the dichotomy.

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“…They are particularly concerned with the notion of realism -the question of how an agent's beliefs about the future affect its desires and intentions. In other work, they also consider the potential for adding (social) plans to their formalism [106,77].…”

Section: Rao and Georgeff -Belief Desire Intention Architecturesmentioning

confidence: 99%