On the evolution of mechanisms for collective decision making in a swarm of robots

Ahmed ALMANSOORI; Muhanad Hayder Mohammed Mohammed; Jean-Noel COLIN; Elio Tuci

doi:10.1007/978-3-031-23929-8_11

On the evolution of mechanisms for collective decision making in a swarm of robots

Ahmed ALMANSOORI, Muhanad Hayder Mohammed Mohammed, Jean-Noel COLIN, Elio Tuci

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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Abstract

Collective decision-making refers to a process of generating a group decision which cannot be attributed to any agent in the group. In swarm robotics, the individual mechanisms for collective decision making are generally hand-designed and limited to a restricted set of solutions based on the voter or the majority model. This study demonstrates that it is possible to take an alternative approach in which the individual mechanisms are implemented using artificial neural network controllers automatically synthesised using evolutionary computation techniques. We qualitatively describe the group dynamics underpinning the collective process leading to consensus. Moreover, this study demonstrates the evolutionary-tailored mechanisms do not follow the principles of the classic hand-coded solutions.

Original language	English
Title of host publication	Artificial Life and Evolutionary Computation - 15th Italian Workshop, WIVACE 2021, Revised Selected Papers
Editors	Johannes Josef Schneider, Rudolf Marcel Füchslin, Mathias Sebastian Weyland, Dandolo Flumini, Johannes Josef Schneider, Rudolf Marcel Füchslin
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	109-120
Number of pages	12
ISBN (Print)	9783031239281
DOIs	https://doi.org/10.1007/978-3-031-23929-8_11
Publication status	Published - 2022
Event	15th International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021 - Winterthur, Switzerland Duration: 15 Sept 2021 → 17 Sept 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1722 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	15th International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021
Country/Territory	Switzerland
City	Winterthur
Period	15/09/21 → 17/09/21

Keywords

Automatic design
Collective decision making
Swarm robotics

Access to Document

10.1007/978-3-031-23929-8_11

WIVACE2021_Ahmed

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ALMANSOORI, A., Mohammed, M. H. M., COLIN, J.-N., & Tuci, E. (2022). On the evolution of mechanisms for collective decision making in a swarm of robots. In J. J. Schneider, R. M. Füchslin, M. S. Weyland, D. Flumini, J. J. Schneider, & R. M. Füchslin (Eds.), Artificial Life and Evolutionary Computation - 15th Italian Workshop, WIVACE 2021, Revised Selected Papers (pp. 109-120). (Communications in Computer and Information Science; Vol. 1722 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-23929-8_11

ALMANSOORI, Ahmed ; Mohammed, Muhanad Hayder Mohammed ; COLIN, Jean-Noel et al. / On the evolution of mechanisms for collective decision making in a swarm of robots. Artificial Life and Evolutionary Computation - 15th Italian Workshop, WIVACE 2021, Revised Selected Papers. editor / Johannes Josef Schneider ; Rudolf Marcel Füchslin ; Mathias Sebastian Weyland ; Dandolo Flumini ; Johannes Josef Schneider ; Rudolf Marcel Füchslin. Springer Science and Business Media Deutschland GmbH, 2022. pp. 109-120 (Communications in Computer and Information Science).

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abstract = "Collective decision-making refers to a process of generating a group decision which cannot be attributed to any agent in the group. In swarm robotics, the individual mechanisms for collective decision making are generally hand-designed and limited to a restricted set of solutions based on the voter or the majority model. This study demonstrates that it is possible to take an alternative approach in which the individual mechanisms are implemented using artificial neural network controllers automatically synthesised using evolutionary computation techniques. We qualitatively describe the group dynamics underpinning the collective process leading to consensus. Moreover, this study demonstrates the evolutionary-tailored mechanisms do not follow the principles of the classic hand-coded solutions.",

keywords = "Automatic design, Collective decision making, Swarm robotics",

author = "Ahmed ALMANSOORI and Mohammed, {Muhanad Hayder Mohammed} and Jean-Noel COLIN and Elio Tuci",

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ALMANSOORI, A , Mohammed, MHM , COLIN, J-N & Tuci, E 2022, On the evolution of mechanisms for collective decision making in a swarm of robots. in JJ Schneider, RM Füchslin, MS Weyland, D Flumini, JJ Schneider & RM Füchslin (eds), Artificial Life and Evolutionary Computation - 15th Italian Workshop, WIVACE 2021, Revised Selected Papers. Communications in Computer and Information Science, vol. 1722 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 109-120, 15th International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021, Winterthur, Switzerland, 15/09/21. https://doi.org/10.1007/978-3-031-23929-8_11

On the evolution of mechanisms for collective decision making in a swarm of robots. / ALMANSOORI, Ahmed ; Mohammed, Muhanad Hayder Mohammed ; COLIN, Jean-Noel et al.
Artificial Life and Evolutionary Computation - 15th Italian Workshop, WIVACE 2021, Revised Selected Papers. ed. / Johannes Josef Schneider; Rudolf Marcel Füchslin; Mathias Sebastian Weyland; Dandolo Flumini; Johannes Josef Schneider; Rudolf Marcel Füchslin. Springer Science and Business Media Deutschland GmbH, 2022. p. 109-120 (Communications in Computer and Information Science; Vol. 1722 CCIS).

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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T1 - On the evolution of mechanisms for collective decision making in a swarm of robots

AU - ALMANSOORI, Ahmed

AU - Mohammed, Muhanad Hayder Mohammed

AU - COLIN, Jean-Noel

AU - Tuci, Elio

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N2 - Collective decision-making refers to a process of generating a group decision which cannot be attributed to any agent in the group. In swarm robotics, the individual mechanisms for collective decision making are generally hand-designed and limited to a restricted set of solutions based on the voter or the majority model. This study demonstrates that it is possible to take an alternative approach in which the individual mechanisms are implemented using artificial neural network controllers automatically synthesised using evolutionary computation techniques. We qualitatively describe the group dynamics underpinning the collective process leading to consensus. Moreover, this study demonstrates the evolutionary-tailored mechanisms do not follow the principles of the classic hand-coded solutions.

AB - Collective decision-making refers to a process of generating a group decision which cannot be attributed to any agent in the group. In swarm robotics, the individual mechanisms for collective decision making are generally hand-designed and limited to a restricted set of solutions based on the voter or the majority model. This study demonstrates that it is possible to take an alternative approach in which the individual mechanisms are implemented using artificial neural network controllers automatically synthesised using evolutionary computation techniques. We qualitatively describe the group dynamics underpinning the collective process leading to consensus. Moreover, this study demonstrates the evolutionary-tailored mechanisms do not follow the principles of the classic hand-coded solutions.

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T3 - Communications in Computer and Information Science

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BT - Artificial Life and Evolutionary Computation - 15th Italian Workshop, WIVACE 2021, Revised Selected Papers

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PB - Springer Science and Business Media Deutschland GmbH

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ER -

ALMANSOORI A , Mohammed MHM , COLIN JN , Tuci E. On the evolution of mechanisms for collective decision making in a swarm of robots. In Schneider JJ, Füchslin RM, Weyland MS, Flumini D, Schneider JJ, Füchslin RM, editors, Artificial Life and Evolutionary Computation - 15th Italian Workshop, WIVACE 2021, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 109-120. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-23929-8_11

On the evolution of mechanisms for collective decision making in a swarm of robots

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