BDI Agent Programming in AgentSpeak Using Jason

Bordini, Rafael H.; Hübner, Jomi Fred

doi:10.1007/11750734_9

Cited by 399 publications

(592 citation statements)

References 20 publications

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“…Indeed, several methodologies for designing MASs have been discussed in the literature [1][2][3][4]6,7] and, correspondingly, different agent platforms [5,[8][9][10][11] have been proposed as technological means for practically implementing distributed applications. As discussed in Section 2, most of these design methodologies and platforms adopt the organizational metaphor as a way for distributing and coordinating agents.…”

Section: Impact and Discussionmentioning

confidence: 99%

“…It is built on the top of three platforms, namely Jason [8] for programming agents, CArtAgO [9] for programming environments, and Moise [58] for programming organizations. More specifically, Jason is a platform for agent development based on the language AgentSpeak [59].…”

Section: Case Study: Accountability In the Jacamo Frameworkmentioning

confidence: 99%

“…The plans at lines 5 and 10, in particular, allow it to accept or reject provisions for goals asked by the role players (lines 7 and 12) depending on whether they seem acceptable or not (lines 6 and 11). If a provision is accepted, then the goal is requested to the agent, too (8). The plans at lines 14 and 19, finally, allow the organization's owners to inform that a given provision which has been agreed by some agent for a goal is holding.…”

Section: Building-a-house Revisitedmentioning

confidence: 99%

“…Multiagent systems (MASs) allow tackling this problem by providing modeling, like [1][2][3][4][5], development approaches, like [6,7], and frameworks, like [8][9][10][11]. Broadly speaking, such solutions represent software components as goal-oriented, autonomous agents, which act in a shared environment and need to coordinate so as to achieve their goals [12].…”

Section: Introductionmentioning

confidence: 99%

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Computational Accountability in MAS Organizations with ADOPT

et al. 2018

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Abstract:This work studies how the notion of accountability can play a key role in the design and realization of distributed systems that are open and that involve autonomous agents that should harmonize their own goals with the organizational goals. The socio-technical systems that support the work inside human companies and organizations are examples of such systems. The approach that is proposed in order to pursue this purpose is set in the context of multiagent systems organizations, and relies on an explicit specification of relationships among the involved agents for capturing who is accountable to whom and for what. Such accountability relationships are created along with the agents' operations and interactions in a shared environment. In order to guarantee accountability as a design property of the system, a specific interaction protocol is suggested. Properties of this protocol are verified, and a case study is provided consisting of an actual implementation. Finally, we discuss the impact on real-world application domains and trace possible evolutions of the proposal.

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Section: Impact and Discussionmentioning

confidence: 99%

Section: Case Study: Accountability In the Jacamo Frameworkmentioning

confidence: 99%

Section: Building-a-house Revisitedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computational Accountability in MAS Organizations with ADOPT

et al. 2018

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“…Its threshold-based plan selection approach is further extended in [15] by adding bias and randomness to all applicable plans. In [16] a tool connecting an MAS development framework (Jason [17]) with a BN constructor is developed. These approaches essentially focus on selecting plans based on the likelihood of their contexts.…”

Section: Related Workmentioning

confidence: 99%

Incorporating PGMs into a BDI Architecture

Chen

Hong

Liu

et al. 2013

Lecture Notes in Computer Science

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Abstract. In this paper, we present a hybrid BDI-PGM framework, in which PGMs (Probabilistic Graphical Models) are incorporated into a BDI (belief-desire-intention) architecture. This work is motivated by the need to address the scalability and noisy sensing issues in SCADA (Supervisory Control And Data Acquisition) systems. Our approach uses the incorporated PGMs to model the uncertainty reasoning and decision making processes of agents situated in a stochastic environment. In particular, we use Bayesian networks to reason about an agent's beliefs about the environment based on its sensory observations, and select optimal plans according to the utilities of actions defined in influence diagrams. This approach takes the advantage of the scalability of the BDI architecture and the uncertainty reasoning capability of PGMs. We present a prototype of the proposed approach using a transit scenario to validate its effectiveness.

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The Mobile Agent and Multiagent Systems

Bosse

2017

Material‐Integrated Intelligent Systems ‐ Technology and Applications

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BDI Agent Programming in AgentSpeak Using Jason

Cited by 399 publications

References 20 publications

Computational Accountability in MAS Organizations with ADOPT

Computational Accountability in MAS Organizations with ADOPT

Incorporating PGMs into a BDI Architecture

The Mobile Agent and Multiagent Systems

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