2004
DOI: 10.1016/j.ics.2004.06.013
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Collective and distributive swarm intelligence: evolutional biological survey

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Cited by 12 publications
(9 citation statements)
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“…A special case in terms of communications that are embedded in the behaviors of the systems is the family of systems whose communications link is through marks on the environment (stigmergy). Some authors have made use of this type of approach using the pheromone metaphor [20,35,[123][124][125]129,146,166], as in the case of ant colony algorithms. In this case the MCRS is structuring the environment to obtain some control effect.…”
Section: Couplingmentioning
confidence: 99%
See 1 more Smart Citation
“…A special case in terms of communications that are embedded in the behaviors of the systems is the family of systems whose communications link is through marks on the environment (stigmergy). Some authors have made use of this type of approach using the pheromone metaphor [20,35,[123][124][125]129,146,166], as in the case of ant colony algorithms. In this case the MCRS is structuring the environment to obtain some control effect.…”
Section: Couplingmentioning
confidence: 99%
“…Distributed control can also be obtained by evolving fuzzy [174] or neuronal [75] controllers that exhibit some emergent behavior. The biological foundations of the idea of robot swarms are reviewed in [166], including a prospective of their application in [142]. In [57] Fukuda et al discuss the advantages and disadvantages of multiagent robotic systems as compared to single robots.…”
Section: Controlmentioning
confidence: 99%
“…These algorithms revolve around a key concept called stigmergy which is an indirect coordination activity in an unknown environment: Ants are attracted to each other by a chemical material called pheromone. The Ant algorithms provide powerful methods for the design of algorithms and optimization of distributed problems involving a collaborative swarm behavior [2], [3], [4], [5], [6]. It seems that in an unknown environment, one of the most important problems related to multi-robots systems is to decide how to coordinate actions in order to achieve tasks in an optimal way [7].…”
Section: Introductionmentioning
confidence: 99%
“…The Ant algorithms provide powerful methods for the design of algorithms and optimization of distributed problems involving a collaborative swarm behavior [1][2][3][4]. Though the introduction of these algorithms into the world of robotics improves the communication quality between robots, the convergence time remains problematic [4][5][6][7][8][9][10][11][12] .…”
Section: Introductionmentioning
confidence: 99%