LOTTO: Group Formation by Overhearing in Large Teams

Legras, François; Tessier, Catherine

doi:10.1007/978-3-540-24608-4_15

Cited by 17 publications

(15 citation statements)

References 15 publications

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“…Similar to Legras and Tessier [2004], I rely on the broadcast nature of wireless communications so that a robot makes use of all messages it overhears, even the ones not explicitly addressed to it. Further, the knowledge manager is able to "forget" knowledge of teammates when no communication has been received for some time; this enables the robot to cope with situations where a teammate has become lost or damaged (Section…”

Section: Knowledge Managermentioning

confidence: 99%

Dynamic heterogeneous team formation for robotic urban search and rescue

Gunn

Anderson

2015

Journal of Computer and System Sciences

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Using teams of robots to complete a task provides a number of advantages over the use of a single robot. Multiple robots are able to complete tasks faster, and provide redundancy in case of equipment failure or loss. Teams of robots with different capabilities and physiologies are beneficial because they allow a team to provide a high level of overall functionality while striking a balance between the cost and complexity of the robots. Previous work tends to focus on the use of pre-formed teams of robots, with little attention to the formation and maintenance of the team itself. An environment such as a disaster zone presents numerous challenges to robotic operation, and it can be expected that the nature of a team will change due to, for example, malfunctions and the introduction of replacement equipment. I developed a framework to support the maintenance of teams of heterogeneous robots operating in complex and dynamic environments such as disaster zones. Given an established team, my work also facilitates the discovery of work to be done during the team's mission and its subsequent assignment to members of the team in a distributed fashion. I evaluated my framework through the development of an example implementation where robots perform exploration in order to locate victims in a simulated disaster environment.ii

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Section: Knowledge Managermentioning

confidence: 99%

Dynamic heterogeneous team formation for robotic urban search and rescue

Gunn

Anderson

2015

Journal of Computer and System Sciences

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“…Many researches were done on small groups. However, with the emergence of social networks in the last decade, there are many researches that focus on large groups (Legras & Tessier, 2003).…”

Section: Grouping Of Usersmentioning

confidence: 99%

A K-complementarity Technique for Forming Groups of Tutors in Intelligent Learning Environments

Lafifi

Bendjebar

Zedadra

2014

CIT

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“…Overhearing has been used for supporting group formation in open environments [22], monitoring the interactive behaviour of organization -in particular implicit organisation [23], to enable awareness among agents [24], plan and conversation dynamic recognition [25].…”

Section: From Overhearing To Oversensingmentioning

confidence: 99%

“Exhibitionists” and “Voyeurs” Do It Better: A Shared Environment for Flexible Coordination with Tacit Messages

Tummolini

Castelfranchi

Ricci

et al. 2005

Environments for Multi-Agent Systems

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Abstract. Coordination between multiple autonomous agents is a major issue for open multi-agent systems. This paper proposes the notion of Behavioural Implicit Communication (BIC) originally devised in human and animal societies as a new and critical coordination mechanism also for artificial agents. BIC is a parasitical form of communication that exploits both some environmental properties and the agents' capacity to interpret their actions. In this paper we abstract from the agents' architecture to focus on the interaction mediated by the environment. Observability of the environment -and in particular of agents' actionsis crucial for implementing BIC-based form of coordination in artificial societies. Accordingly in this paper we introduce an abstract model of environment providing services to enhance observation power of agents, enabling BIC and other form of observation-based coordination. Also, we describe a typology of environments and examples of observation based coordination with and without implicit communication.

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LOTTO: Group Formation by Overhearing in Large Teams

Cited by 17 publications

References 15 publications

Dynamic heterogeneous team formation for robotic urban search and rescue

Dynamic heterogeneous team formation for robotic urban search and rescue

A K-complementarity Technique for Forming Groups of Tutors in Intelligent Learning Environments

“Exhibitionists” and “Voyeurs” Do It Better: A Shared Environment for Flexible Coordination with Tacit Messages

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