Goal-Oriented Development of BDI Agents: The PRACTIONIST Approach

Morreale, Vito; Bonura, Susanna; Francaviglia, Giuseppe; Centineo, Fabio; Cossentino, Massimo; Gaglio, Salvatore

doi:10.1109/iat.2006.71

Cited by 14 publications

(3 citation statements)

References 5 publications

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“…Their aim is to allow agent development platforms to reduce the gap between agent theories and actual implementations of agent based systems. Following this, PRACTITIONIST [10], a framework that adopts a goal-oriented approach to develop BDI agents and stresses the separation between deliberation process and the means-ends reasoning was proposed. PRACTITIONIST agents can be programmed in terms of goals, which then will be related to either desires or intentions according to whether some specific conditions are satisfied or not.…”

Section: Goal Sharing Of Agentsmentioning

confidence: 99%

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Web service based model for inter-agent communication in multi-agent systems: A case study

Weerawardhana

Jayatilleke

2011

2011 11th International Conference on Hybrid Intelligent Systems (HIS)

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Service oriented architecture (SOA) is a widely used model for enterprise application integration, mainly due to the presence of accepted standards and tools required to implement web services. While the service oriented architecture provides an elegant model for interoperability, it does not define a computational model for building the endpoints of complex distributed services it exposes in a typical enterprise application. On the other hand, software agent technology provides powerful models such as the Belief-Desire-Intention (BDI) model that allows developers to build distributed systems with enhanced reasoning capabilities. We propose a web services based communication model for interagent communication allowing heterogeneous agents in a multi agent system to freely collaborate. We specifically focus on goal and beliefset sharing in BDI based agents. By providing a web services based interface, we allow agents as well as non-agent based services in a distributed system to yield the benefits of agent technology. Applicability of this proposition is demonstrated by designing and implementing a prototype multi-agent system for flood forecasting.

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Section: Goal Sharing Of Agentsmentioning

confidence: 99%

“…For example, in [10] the implementation is based on Jason agent development platform. Popular agent development platforms such as JACK [5] and Jadex [6] already support goal-oriented agent development.…”

Section: Goal Sharing Of Agentsmentioning

confidence: 99%

Web service based model for inter-agent communication in multi-agent systems: A case study

Weerawardhana

Jayatilleke

2011

2011 11th International Conference on Hybrid Intelligent Systems (HIS)

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“…inconsistence, entailment, precondition, and dependence). A more formal definition of the goal model can be found in [13].…”

Section: Deliberation Processmentioning

confidence: 99%

Developing Intentional Systems with the PRACTIONIST Framework

Morreale¹,

Bonura²,

Francaviglia³

et al. 2007

2007 5th IEEE International Conference on Industrial Informatics

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Abstract-Agent-based systems have become a very attractive approach for dealing with the complexity of modern software applications and have proved to be useful and successful in some industrial domains. However, engineering such systems is still a challenge due to the lack of effective tools and actual implementations of very interesting and fascinating theories and models. In this area the so-called intentional stance of systems can be very helpful to efficiently predict, explain, and define the behaviour of complex systems, without having to understand how they actually work, but explaining them in terms of some mental qualities or attitudes, rather than in terms of their physical or design stance.In this paper we present the PRACTIONIST framework, that supports the development of PRACTIcal reasONIng sySTems according to the BDI model of agency, which uses some mental attitudes such as beliefs, desires, and intentions to describe and specify the behaviour of system components. We adopt a goal-oriented approach and a clear separation between the deliberation and the means-ends reasoning, and consequently between the states of affairs to pursue and the way to do it. Moreover, PRACTIONIST allows developers to implement agents able to reason about their beliefs and the other agents' beliefs, expressed by modal logic formulas.

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