Jason and the Golden Fleece of Agent-Oriented Programming

Bordini, Rafael H.; Hübner, Jomi Fred; Vieira, Renata

doi:10.1007/0-387-26350-0_1

Cited by 119 publications

(90 citation statements)

References 129 publications

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“…To keep the paper at a reasonable size, we only describe the main features of Jason, so that readers can assess whether Jason might be of interest, rather than aiming at a didactic presentation. For the interested reader, we give here plenty of references to other papers and documentation where more detail and examples can be found; a general reference giving a longer overview is [9], and see [8] for details. The paper is organised as follows.…”

Section: Introductionmentioning

confidence: 99%

BDI Agent Programming in AgentSpeak Using Jason

Bordini

Hübner

2006

Lecture Notes in Computer Science

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387

557

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Abstract. This paper is based on the tutorial given as part of the tutorial programme of CLIMA-VI. The tutorial aimed at giving an overview of the various features available in Jason, a multi-agent systems development platform that is based on an interpreter for an extended version of AgentSpeak. The BDI architecture is the best known and most studied architecture for cognitive agents, and AgentSpeak is an elegant, logic-based programming language inspired by the BDI architecture.

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Section: Introductionmentioning

confidence: 99%

BDI Agent Programming in AgentSpeak Using Jason

Bordini

Hübner

2006

Lecture Notes in Computer Science

Self Cite

387

557

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“…However such an answer may take time to calculate and the Abstraction Engine may need to continue handling incoming data. Some agent languages (such as Jason [7]) allow intentions to be suspended while other parts of an agent may continue to run. We follow this approach and represent requesting and receiving the answer to a calculation via two rules.…”

Section: Calculationmentioning

confidence: 99%

Declarative Abstractions for Agent Based Hybrid Control Systems

Dennis

Fisher

Lincoln

et al. 2011

Declarative Agent Languages and Technologies VIII

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Abstract. Modern control systems are limited in their ability to react flexibly and autonomously to changing situations by the complexity inherent in analysing environments where many variables are present. We aim to use an agent approach to help alleviate this problem and are particularly interested in the control of satellite systems using BDI agent programming as pioneered by the PRS. Such systems need to generate discrete abstractions from continuous data and then use these abstractions in rational decision making. This paper provides an architecture and interaction semantics for an abstraction engine to interact with a hybrid BDI-based control system.

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“…These are important features for context aware agents. The AgentSpeak interpreter Jason [2] is currently being modified so that it can support the features discussed in this paper. Jason supports both closed and open-world assumption, and it is possible to run and debug the system in a distributed way over a network.…”

Section: Discussionmentioning

confidence: 99%

“…That semantics tells exactly how the computational representation of Beliefs-Desires-Intentions of an agent are changed when it receives a message. It has also formed the basis for the implementation of AgentSpeak interpreters such the Jason [2].…”

Section: Speech Act-based Communicationmentioning

confidence: 99%

“…For AgentSpeak(L) to be useful in practice, various extensions to it have been proposed; from now on we refer to AgentSpeak(L) or any of its extensions generally as AgentSpeak. In particular, the formal semantics of an extended version of the language that allows for speech act-based communication, given in [16] has been used for the implementation of the open source interpreter Jason 1 [2]. Through speech act-based communication, an agent can share its internal state (beliefs, desires, intentions) with other agents, as well as it can influence other agents' states.…”

Section: Introductionmentioning

confidence: 99%

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An Agent-Oriented Programming Language for Computing in Context

Vieira

Moreira

Bordini

et al.

Professional Practice in Artificial Intelligence

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Abstract. Context aware intelligent agents are key components in the development of pervasive systems. In this paper, we present an extension of a BDI programming language to support ontological reasoning and ontology-based speech act communication. These extensions were guided by the new requirements brought about by such emerging computing styles. These new features are essential for the development multi-agent systems with context awareness, given that ontologies have been widely pointed out as an appropriate way to model contexts.

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Jason and the Golden Fleece of Agent-Oriented Programming

Cited by 119 publications

References 129 publications

BDI Agent Programming in AgentSpeak Using Jason

BDI Agent Programming in AgentSpeak Using Jason

Declarative Abstractions for Agent Based Hybrid Control Systems

An Agent-Oriented Programming Language for Computing in Context

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