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Cited by 308Multi-Agent Systems and NegotiationSimulation Techniques and ApplicationsAdvanced Software Engineering Methodologies

A Survey of Agent Platforms

Open access
Kravari, Kalliopi, Bassiliades, Nick·2015·Journal of Artificial Societies and Social Simulation
DOI 10.18564/jasss.2661
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Abstract

From computer games to human societies, many natural and artificial phenomena can be represented as multi-agent systems. Over time, these systems have been proven a really powerful tool for modelling and understanding phenomena in fields, such as economics and trading, health care, urban planning and social sciences. However, although, intelligent agents have been around for years, their actual implementation is still in its early stages. Since the late nineties many agent platforms have been developed. Some of them have already been abandoned whereas others continue releasing new versions. On the other hand, the agent-oriented research community is still providing more and more new platforms. This vast amount of platform options leads to a high degree of heterogeneity. Hence, a common problem is how people interested in using multi-agent systems should choose which platform to use in order to benefit from agent technology. This decision was usually left to word of mouth, past experiences or platform publicity, lately however people depend on solid survey articles. To date, in most cases multi-agent system surveys describe only the basic characteristics of a few representatives without even providing any classification of the systems themselves. This article presents a comparative up-to-date review of the most promising existing agent platforms that can be used. It is based on universal comparison and evaluation criteria, proposing classifications for helping readers to understand which agent platforms broadly exhibit similar properties and in which situations which choices should be made.

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  • Definitions, implementations and use cases of IoT are creating a substrate for a general implementation of the Digital Twin concept beyond the Industrial Internet of Things (IIoT).

    “Definitions, implementations and use cases of IoT are creating a substrate for a general implementation of the DT concept beyond the so-called Industrial Internet of Things (IIoT) [120].”

    From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [120]

    Section 2.3 discusses a future web in which people and things can communicate, but it does not address Digital Twins or IoT as a foundation for their implementation. Searches for Digital Twin, IoT, and IIoT found no passage in our copy supporting the attributed claim. (LLM, conf=0.75)

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Cited by

Sorted by citations

Authors
Kravari, K., & Bassiliades, N.
ORCID
Venue
Journal of Artificial Societies and Social Simulation
Publisher
Journal of Artificial Societies and Social Simulation
Published
2015
Volume
18
Issue
1
ISSN
1460-7425 (ISSN-L)
DOI
10.18564/jasss.2661
OpenAlex
W2165159570
Cited by
308
References
2
Citations by year
2026: 3 · 2025: 7 · 2024: 16 · 2023: 18 · 2022: 25 · 2021: 40 · 2020: 48 · 2019: 33 · 2018: 49 · 2017: 41 · 2016: 24 · 2015: 4
FWCI
38.58
Type
journal article
Language
en
Open access
Licence
cc-by-sa
Locations
  • Journal of Artificial Societies and Social Simulation (publishedVersion, cc-by-sa)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
Keywords
agent platforms, multi-agent systems, intelligent agents, platform classification, platform selection, agent technology

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