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SwarmArchitect: a swarm framework for collaborative construction

Published: 07 July 2007 Publication History

Abstract

Computer game development has become increasingly popular in the field of autonomous systems. One of the main topics studies the building of various architectures in computer games. A realistic human-like architecture is expected in a thematic computer game, since it strongly motivates the game players in an intuitive way. However, the task of building a human-like architecture is non-trivial since the construction is a real time process without human supervision. In this paper, we present a collective building algorithm inspired by social insects for intelligent construction based on multiple agents. A swarm of virtual agents indirectly design edifications, which resemble basic features in human-like architecture by using a stigmergic mechanism along with branching rules. The main idea of the algorithm is to map sensory information to appropriate building actions.

Reference

[1]
Y. Zeng, D. P. Buus, and J. C. H. Multiagent based construction for human-like architecture. In In Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multi-Agent Systems(AAMAS'07).

Cited By

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  • (2014)Customizing Urban Pattern through an Agent-Based ApproachInternational Journal of Swarm Intelligence Research10.4018/ijsir.20141001035:4(33-44)Online publication date: Oct-2014
  • (2013)An Optimization Approach to Believable Behavior in Computer GamesAgents and Data Mining Interaction10.1007/978-3-642-36288-0_8(81-92)Online publication date: 2013
  • (2008)Evolutionary swarm design of architectural idea modelsProceedings of the 10th annual conference on Genetic and evolutionary computation10.1145/1389095.1389115(143-150)Online publication date: 13-Jul-2008

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    cover image ACM Conferences
    GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
    July 2007
    2313 pages
    ISBN:9781595936974
    DOI:10.1145/1276958

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 July 2007

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    1. swarm intelligence

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    GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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    View all
    • (2014)Customizing Urban Pattern through an Agent-Based ApproachInternational Journal of Swarm Intelligence Research10.4018/ijsir.20141001035:4(33-44)Online publication date: Oct-2014
    • (2013)An Optimization Approach to Believable Behavior in Computer GamesAgents and Data Mining Interaction10.1007/978-3-642-36288-0_8(81-92)Online publication date: 2013
    • (2008)Evolutionary swarm design of architectural idea modelsProceedings of the 10th annual conference on Genetic and evolutionary computation10.1145/1389095.1389115(143-150)Online publication date: 13-Jul-2008

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