Delivering Multi-agent MicroServices Using CArtAgO

O’Neill, Eoin; Lillis, David; O’Hare, Gregory M. P.; Collier, Rem W.

doi:10.1007/978-3-030-66534-0_1

Cited by 8 publications

(7 citation statements)

References 22 publications

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“…Papers emanating from the EMAS series of workshops confirm this trend. The Web appears in three papers, either as a scalable distributed system made of Web services [18,4] or as a uniform interface to cyber-physical systems [5]. In all three papers, WoT is invoked as a new domain of application for autonomous agents.…”

Section: Cyber-physical Systems On the Web And Hypermediamentioning

confidence: 99%

“…Two of these EMAS prototypes insist on hypermedia as the main distinctive feature of their approach [18,5]. Ciortea et al insist on the fact that hypermedia helps agents "discover at runtime other entities in a MAS and the means to interact with those entities".…”

Section: Cyber-physical Systems On the Web And Hypermediamentioning

confidence: 99%

“…1 shows the different data flows that have been implemented in the four EMAS prototypes previously mentioned. In the two prototypes featuring Web services [18,4], an agent is a mixed component that includes both a server connector (for perception and agent-to-agent interactions) and a client connector (for action), enabling direct interactions with other agents (Fig. 1a).…”

Section: Autonomous Agents and Representational State Transfermentioning

confidence: 99%

“…Rather, they would be programmed to recognize specific Web ontologies, which specify the structure of resources through a vocabulary and the potential actions available on these resources. To that end, the two EMAS prototypes dealing with hypermedia environments [18,5] make use of the CArtAgO meta-model [19]: resources e.g. with a certain content type, such as the Hypermedia Application Language (HAL), or a certain data structure, such as RDF triples with a specific vocabulary (EVE), are turned into software objects called 'artifacts', that agents use as proxies to manipulate the origin Web resources.…”

Section: Artifactsmentioning

confidence: 99%

“…In the MAS literature, various research prototypes with WoT and social Web applications have been recently proposed, in particular among the workshop series on Engineering MASs (EMAS) [18,4,5,6]. However, most of these proposals do not use Semantic Web technologies (only one proposal does [5], although another includes Linked Data-a subfield of the Semantic Web-as future work) [18].…”

Section: Introductionmentioning

confidence: 99%

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A Unifying Framework for Agency in Hypermedia Environments

Charpenay

Käfer

Harth

2022

Engineering Multi-Agent Systems

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One of the emerging trends in engineering multi-agent systems (MASs) is to use the Web as an environment. On the Web, hypermedia is the guiding principle of agent perception and action. Web standards allow agents to have a single uniform interface to their environment, be it real or simulated. Most recent proposals for hypermedia MASs tend, however, to introduce a coupling between agents and their environment. This paper introduces a framework based on Semantic Web technologies to formalize interactions between agents and a hypermedia environment. Semantic Web technologies and, more specifically, Web ontologies guarantee interoperability on the Web and maximize uncoupling between components. We show how existing ontologies can be used to make existing MAS prototypes fit our framework. Our framework formalizes state transfer, the guiding principle of agentenvironment interactions in hypermedia, with respect to a reference formalism originally introduced by Genesereth and Nilsson. We also show the equivalence between the two in the paper, under certain conditions. Keywords: Semantic Web • Linked Data • Hypermedia • Multi-Agent System 5 https://www.w3.org/WoT/ 6 https://www.w3.org/Social/ 7 or, more generally, not providing guarantees as to shared message semantics across agents in MAS prototypes.

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Section: Cyber-physical Systems On the Web And Hypermediamentioning

confidence: 99%

Section: Cyber-physical Systems On the Web And Hypermediamentioning

confidence: 99%

Section: Autonomous Agents and Representational State Transfermentioning

confidence: 99%

Section: Artifactsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Unifying Framework for Agency in Hypermedia Environments

Charpenay

Käfer

Harth

2022

Engineering Multi-Agent Systems

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Simulating Traffic with Agents, Microservices and REST

Jagutis

Russell

Collier

2023

Studies in Computational Intelligence

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Intelligent Systems in Healthcare: An Architecture Proposal

Chaves,

Montenegro,

Peixoto

et al. 2023

Lecture Notes in Networks and Systems

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Multi-Agent Systems has existed for decades and has focused on principles such as loose coupling, distribution, reactivity, and local state. Despite substantial tool and programming language research and development, industry adoption of these systems has been restricted, particularly in the healthcare arena. Artificial intelligence, on the other hand, entails developing computer systems that can execute tasks that normally require human intelligence, such as decision-making, problemsolving, and learning. The goal of this article is to develop and implement an architecture that includes multi-agent systems with microservices, leveraging the capabilities of both methodologies in order to harness the power of Artificial Intelligence in the healthcare industry. It assesses the proposed architecture's merits and downsides, as well as its relevance to various healthcare use cases and the influence on system scalability, adaptability, and maintainability. Indeed, the proposed architecture is capable of meeting the objectives while maintaining scalability, flexibility, and adaptability.

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Delivering Multi-agent MicroServices Using CArtAgO

Cited by 8 publications

References 22 publications

A Unifying Framework for Agency in Hypermedia Environments

A Unifying Framework for Agency in Hypermedia Environments

Simulating Traffic with Agents, Microservices and REST

Intelligent Systems in Healthcare: An Architecture Proposal

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