Publish a Jason Agent BDI Capacity as Web Service REST and SOAP

Rafalimanana, Hantanirina Felixie; Razafindramintsa, Jean Luc; Ratovondrahona, Alain Josué; Mahatody, Thomas; Manantsoa, Victor

doi:10.1007/978-3-030-21005-2_16

Cited by 2 publications

(5 citation statements)

References 6 publications

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“…The autonomous and goal-oriented capability through the BDI agent that it implements allows it to perform a task reasonably. This capability is now exploitable through a distributed component as a service [5] through Jason-RS. Then the objects can use it not only to send the sensor data but also to initiate a decision-making process at the agent level.…”

Section: General Architecturementioning

confidence: 99%

“…We have already studied in our article [5] the publication of Jason's BDI agent capability as a Web Service. We have proposed an approach allows deploying and running Web Services (REST and SOAP) pairs with a Jason BDI agent in java SE environment.…”

Section: Fig 1 General Architecture Of the Jason-rs Implementation In...mentioning

confidence: 99%

“…To illustrate and motivate our approach, we introduce a concrete application using the following scenario. We take the example of the disposal of household waste in our paper [5]. Waste disposal agents have waste disposal costs that vary according to time constraints, people, distances traveled and evacuation loads.…”

Section: Application Of the Architecture With A Python Object And Bec3mentioning

confidence: 99%

“…Our contribution aim to add a complex data processing of the object web. We then opt for the reuse of our search fruit in [5] which we call Jason-RS or Jason-Rest for more precision.…”

Section: Introductionmentioning

confidence: 99%

“…Jason-RS gives the REST Web Service ability to the BDI agent Service [5]. Jason is a multi-agent platform based on the Agentspeak-L language [6] [7].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Jason-RS, A Collaboration Between Agents and an IoT Platform

Rafalimanana

Razafindramintsa

Cherrier

et al. 2020

Machine Learning for Networking

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In this article we start from the observation that REST services are the most used as tools of interoperability and orchestration in the Internet of Things (IoT). But REST does not make it possible to inject artificial intelligence into connected objects, ie it cannot allow autonomy and decision-making by the objects themselves. To define an intelligence to a connected object, one can use a Beleive Desire Intention agent (BDI an intelligent agent that adopts human behavior) such as Jason Agentspeak. But Jason AgentSpeak does not guarantee orchestration or choreography between connected objects. There are platforms for service orchestration and choreography in IoT, still the interconnection with artificial intelligence needs to be built. In this article, we propose a new approach called Jason-RS. It is a result of pairing Jason BDI agent with the web service technologies to exploit the agent capacity as a service, Jason-RS turn in Java SE and it does not need any middleware. The architecture that we propose allows to create the link between Artificial Intelligence and Services choreography to reduce human intervention in the service choreography. In order to validate the proposed approach, we have interconnected the Iot BeC 3 platform and the REST agent (Jason-RS). The decision-making faculty offered by Jason-RS is derived from the information sent by the objects according to the different methods of REST (GET, POST, PUT, and DELETE) that Jason-RS offers. As a result, the objects feed the inter-agent collaborations and decision-making inside the agent. Finally, we show that Jason-RS allows the Web of Objects to power complex systems such as an artificial intelligence responsible for processing data. This performance is promising.

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Section: General Architecturementioning

confidence: 99%

Section: Fig 1 General Architecture Of the Jason-rs Implementation In...mentioning

confidence: 99%

Section: Application Of the Architecture With A Python Object And Bec3mentioning

confidence: 99%

“…Our contribution aim to add a complex data processing of the object web. We then opt for the reuse of our search fruit in [5] which we call Jason-RS or Jason-Rest for more precision.…”

Section: Introductionmentioning

confidence: 99%

“…Jason-RS gives the REST Web Service ability to the BDI agent Service [5]. Jason is a multi-agent platform based on the Agentspeak-L language [6] [7].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Jason-RS, A Collaboration Between Agents and an IoT Platform

Rafalimanana

Razafindramintsa

Cherrier

et al. 2020

Machine Learning for Networking

Self Cite

View full text Add to dashboard Cite

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Flexible Agent Architecture: Mixing Reactive and Deliberative Behaviors in SPADE

et al. 2023

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Over the years, multi-agent systems (MAS) technologies have shown their usefulness in creating distributed applications focused on autonomous intelligent processes. For this purpose, many frameworks for supporting multi-agent systems have been developed, normally oriented towards a particular type of agent architecture (e.g., reactive or deliberative agents). It is common, for example, for a multi-agent platform supporting the BDI (Belief, Desire, Intention) model to provide this agent model exclusively. In most of the existing agent platforms, it is possible to develop either behavior-based agents or deliberative agents based on the BDI cycle, but not both. In this sense, there is a clear lack of flexibility when agents need to perform part of their decision-making process according to the BDI paradigm and, in parallel, require some other behaviors that do not need such a deliberation process. In this context, this paper proposes the introduction of an agent architecture called Flexible Agent Architecture (FAA) that supports the development of multi-agent systems, where each agent can define its actions in terms of different computational models (BDI, procedural, neural networks, etc.) as behaviors, and combine these behaviors as necessary in order to achieve its goals. The FAA architecture has been integrated into a real agent platform, SPADE, thus extending its original capabilities in order to develop applications featuring reactive, deliberative, and hybrid agents. The integration has also adapted the existing facilities of SPADE to all types of behaviors inside agents, for example, the coordination of agents by using a presence notification mechanism, which is a unique feature of SPADE. The resulting SPADE middleware has been used to implement a case study in a simulated robotics scenario, also shown in the paper.

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Publish a Jason Agent BDI Capacity as Web Service REST and SOAP

Cited by 2 publications

References 6 publications

Jason-RS, A Collaboration Between Agents and an IoT Platform

Jason-RS, A Collaboration Between Agents and an IoT Platform

Flexible Agent Architecture: Mixing Reactive and Deliberative Behaviors in SPADE

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