AN EXPERIMENTAL COLLECTIVE INTELLIGENCE RESEARCH TOOL

Authors

  • Bei Wang
  • Dung Hoang
  • Idris Daiz
  • Chiedu Okpala
  • Tarek M. Sobh

DOI:

https://doi.org/10.47839/ijc.3.3.304

Keywords:

Artificial Life, Intelligent Agents and Multi Agent Systems

Abstract

The Collective Intelligence Research Tool (CIRT) is an experimental software and hardware research tool. It provides an inexpensive and efficient alternative research implementation that demonstrates simulations of the collective behavior of self-organized systems, primarily social insects. The software focuses on 2D simulations of the woodchip-collecting behavior of termites and 3D simulations of the building behavior of wasps. The hardware simulation employs a Boe-Bot robot, which has the potential of simulating simple movements of a social insect, by extending its functionality through adding sensors and integrating a control chip.

References

Bonabeau, E. Theraulaz, G., Arpin, E. and Sardet, E. The building behavior of lattice swarms. In: Artificial Life IV, Brooks, R. and Maes, P. eds., pp. 307-312, MIT Press (1994).

Ramos V. On the Implicit and on the Artificial: Morphogenesis and Emergent Aesthetics in Autonomous Collective Systems. aLife Art Architecture Lab, CVRM/IST Technical Univ. of Lisbon (http://alfa.ist.utl.pt/~cvrm/staff/vramos/architopia1.html)

Langham, A. E. and Grant P. W. Evolving the Building Activity of a Termite Colony for Finite Element Mesh Generation. Pages 1-10, Department of Computer Science, University of Wales Swansea Research Report CSR1 4-99 (1999).

Technical Report: A Cooperative Multi-Robot Control Architecture. Dynamic Concepts, Inc (2002). (http://www.dynamic-concepts.com/)

Fong, T., Nourbakhsh, I., and Dautenhahn, K., A Survey of Socially Interactive Robots, Robotics and Autonomous Systems, vol. 42(3-4), March 2003.

Krieger, M. J., Billeter, J.B., Keller, L. 2000. Ant-like task allocation and recruitment in co-operative robots. Nature, 406, 992-995. 2000.

Bonebeau E., Dirigo M.and Theraulaz G. Inspiration for Optimization from Social Insect Behavior, Nature 406, 39-42, 2000.

Bonebeau E., Theraulazx G. and Cogne F., The Design of Complex Architectures by Simple Agents, Sante Fe Institute Working Paper 98-01-005.

Resnick, M. Turtles, Termites and Traffic Jams: Explorations in Massively Parallel Microworlds. Cambridge, Ma: MIT Press (1994).

StarLogo. (http://education.mit.edu/starlogo/)

Collier, N. Repast: An extensible framework for agent simulation (2002). (http://repast.sourceforge.net/)

NASA COIN Project (http://is.arc.nasa.gov/AR/projects/ColInt.html)

SWARM Project. (http://www.swarm.org/intro.html)

StarLogoT. -(http://ccl.sesp.northwestern.edu/cm/starlogoT/)

NetLogo. -(http://ccl.sesp.northwestern.edu/netlogo/)

AgentSheets. (http://agentsheets.com/)

Ascape. (http://www.brook.edu/es/dynamics/models/ascape/default.htm)

Boe-Bot Specifications (http://www.parallax.com/html_pages/robotics/boebot/boebot.asp)

Wasp Nest Building Simulator. (http://www-iasc.enst-bretagne.fr/PROJECTS/SWARM/nest.html)

Downloads

Published

2014-08-01

How to Cite

Wang, B., Hoang, D., Daiz, I., Okpala, C., & Sobh, T. M. (2014). AN EXPERIMENTAL COLLECTIVE INTELLIGENCE RESEARCH TOOL. International Journal of Computing, 3(3), 40-50. https://doi.org/10.47839/ijc.3.3.304

Issue

2004, Volume 3, Issue 3

Section

Articles

License

International Journal of Computing is an open access journal. Authors who publish with this journal agree to the following terms:
•    Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
•    Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
•    Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.