A Notation for Modeling Jason-Like BDI Agents

Cossentino, Massimo; Chella, Antonio; Lodato, Carmelo; Lopes, Salvatore; Ribino, Patrizia; Seidita, Valeria

doi:10.1109/cisis.2012.203

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…Although it is possible to convert generated dependencies to BDI agents, the implementation of the required transformations and code generation are not included in the study. The work introduced in [25] aims at modelling Jason BDI agents. However, the work only consists of presenting a metamodel, not a complete language implementation like DSML4BDI and does not support the reusability of same concepts (e.g.…”

Section: Related Workmentioning

confidence: 99%

Domain‐specific modelling language for belief–desire–intention software agents

2018

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Development of software agents according to belief-desire-intention (BDI) model usually becomes challenging due to autonomy, distributedness, and openness of multi-agent systems (MAS). Hence, here, a domain-specific modelling language (DSML), called DSML4BDI, is introduced to support development of BDI agents. The syntax of the language provides the design of agent components required for the construction of the system according to the specifications of BDI architecture. The implementation of designed MAS on Jason BDI platform is also possible via model-to-text transformations built in the DSML. The comparative evaluation results showed that a significant amount of artefacts required for the exact MAS implementation can be automatically achieved by employing DSML4BDI. Moreover, time needed for developing a BDI agent system from scratch can be reduced to one-third in the case of using DSML4BDI. Finally, qualitative assessment, based on the developers' feedback, exposed how DSML4BDI facilitates development of BDI agents.

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Section: Related Workmentioning

confidence: 99%

Domain‐specific modelling language for belief–desire–intention software agents

2018

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“…As stated in [19] this is because laser sensors can obtain and use accurate depth information. [20] states that the design and development of a large MAS is a complex and difficult activity. Because of the reactive capability of distributed system or MAS in capturing dynamic changes in real time situations, MAS are feasible approaches to complex and difficult problem solutions such as the identification, detection and notification of IEDs materials.…”

Section: Agents and Multi-agent Systemsmentioning

confidence: 99%

An agent based approach for improvised explosive device detection, public alertness and safety

Ehimwenma

Crowther

Alboul

et al. 2018

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)

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One of the security challenges faced by our contemporary world is terror threats and attacks, and this is no doubt posing potential threats to lives, properties and businesses all around us; affecting the way we live and also travel. Terror attacks have been perpetrated in diverse ways whether from organized terror networks through coordinated attacks or by some lone individuals such that it is now a major concern to people and government. Indeed, there are numerous forms of terror attacks. In this proposal, we look at how the explosive substance kind of threats can be perceived and taken care of prior to potential attacks using intelligent agent systems requirement analysis. Thus, the paper demonstrates using an agent-oriented system analysis and design methodology to decompose. Through defined percepts, goals and plans, agents possess capabilities to observe and perform actions. This proposal demonstrates: how agents can be situated in our cities, goal refinement for agents in the detection and rescue of potential terror attacks, and inter-agent communication for the prevention of chemical terror attack.

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“…In Agent-Oriented Software Engineering (AOSE), dedicated methodologies and tools exist for expert programmers, such as the Prometheus methodology and associated tool with Jack code generation (Padgham & Winikoff, 2002; Padgham et al ., 2008); Cossentino et al . (2012) describe an UML like notation and Jason-code generation. These methodologies are sometimes used in simulations, for instance, Sokolova and Fernández-Caballero (2007) use Prometheus methodology for modelling agents with a BDI architecture, in a decision-support system for evaluating the impact of pollutant exposure on population health.…”

Section: Technical Guide: How To Integrate Bdi Agents In Simulations?mentioning

confidence: 99%

BDI agents in social simulations: a survey

Adam¹,

Gaudou²

2016

The Knowledge Engineering Review

113

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International audienceModeling and simulation have long been dominated by equation-based approaches, until the recent advent of agent-based approaches. To curb the resulting complexity of models, Axelrod promoted the KISS principle: “Keep It Simple, Stupid”. But the community is divided and a new principle appeared: KIDS, “Keep It Descriptive Simple”. Richer models were thus developed for a variety of phenomena, while agent cognition still tends to be modelled with simple reactive particle-like agents. This is not always appropriate, in particular in the social sciences trying to account for the complexity of human behaviour. One solution is to model humans as BDI agents, an expressive paradigm using concepts from folk psychology, making it easier for modellers and users to understand the simulation. This paper provides a methodological guide to the use of BDI agents in social simulations, and an overview of existing methodologies and tools for using them

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A Notation for Modeling Jason-Like BDI Agents

Cited by 5 publications

References 18 publications

Domain‐specific modelling language for belief–desire–intention software agents

Domain‐specific modelling language for belief–desire–intention software agents

An agent based approach for improvised explosive device detection, public alertness and safety

BDI agents in social simulations: a survey

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