Evolution of Combined Arms Tactics in Heterogeneous Multi-Agent Teams Article Swipe
Rob Wilson
,
David A. King
,
Gilbert L. Peterson
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.32473/flairs.v35i.130577
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.32473/flairs.v35i.130577
Multi-agent systems research is concerned with the emergence of system-level behaviors from relatively simple agent interactions. Multi-agent systems research to date is primarily concerned with systems of homogeneous agents, with member agents both physically and behaviorally identical. Systems of heterogeneous agents with differing physical or behavioral characteristics may be able to accomplish tasks more efficiently than homogeneous teams, via cooperation between mutually complementary agent types. In this article, we compare the performance of homogeneous and heterogeneous teams in combined arms situations. Combined arms theory proposes that the application of heterogeneous forces, en masse, can generate effects far greater than outcomes achieved by homogeneous forces or the serial use of individual arms. Results from experiments show that combined arms tactics can emerge from simple agent interactions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32473/flairs.v35i.130577
- https://journals.flvc.org/FLAIRS/article/download/130577/133867
- OA Status
- diamond
- Cited By
- 3
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4225383338
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4225383338Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.32473/flairs.v35i.130577Digital Object Identifier
- Title
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Evolution of Combined Arms Tactics in Heterogeneous Multi-Agent TeamsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-05-04Full publication date if available
- Authors
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Rob Wilson, David A. King, Gilbert L. PetersonList of authors in order
- Landing page
-
https://doi.org/10.32473/flairs.v35i.130577Publisher landing page
- PDF URL
-
https://journals.flvc.org/FLAIRS/article/download/130577/133867Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://journals.flvc.org/FLAIRS/article/download/130577/133867Direct OA link when available
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Homogeneous, Simple (philosophy), Computer science, Multi-agent system, Distributed computing, Human–computer interaction, Artificial intelligence, Statistical physics, Physics, Epistemology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3Per-year citation counts (last 5 years)
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15Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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