Extending Multi-agent Cooperation by Overhearing

Busetta, Paolo; Serafini, Luciano; Singh, Dhirendra; Zini, Floriano

doi:10.1007/3-540-44751-2_5

Cited by 23 publications

(17 citation statements)

References 7 publications

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“…In contrast, investigations in [3][4][5] describe collaborative settings in which the overhearing agent may act on overheard messages to assist the communicating agents. The settings they describe involve communicating agents, who are engaged in problem solving.…”

Section: Background and Motivationmentioning

confidence: 99%

“…Kaminka et al [1] developed a plan-recognition approach to overhearing in order to monitor the state of distributed agent teams. Aielo et al [3] and Bussetta et al [4,5] investigated an architecture that enables overhearing, so that domain experts can provide advice to problem-solving agents when necessary. Legras [6] examined the use of overhearing for maintaining organizational awareness.…”

Section: Introductionmentioning

confidence: 99%

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Experiments in Selective Overhearing of Hierarchical Organizations

Gutnik

Kaminka

2006

Agent Communication II

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Abstract. Lately, overhearing has gained interest in monitoring multi-agent settings. Previous investigations provided an extensive set of techniques using overhearing. However, most previous investigations rely on a problematic assumption that all inter-agent communications can be overheard. In the real-world settings, it is reasonable to assume that the available overhearing resources will be essentially limited. Thus, overhearing targets should be carefully chosen. We provide a theoretical and empirical study of selective overhearing. In particular, we focus on overhearing hierarchical organizations that are highly popular in the real-world settings. This paper first presents a theoretical approach for modelling overhearing in hierarchical organizations . Then, based on the proposed model, we present experiments in simulating conversations in hierarchical organizations, and empirically examine a set of overhearing strategies particularly suited for such organizations. Based on these extensive experiments, we are able to determine efficient overhearing strategies and isolate the parameters influencing their behavior.

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Section: Background and Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experiments in Selective Overhearing of Hierarchical Organizations

Gutnik

Kaminka

2006

Agent Communication II

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“…Busetta et al define an overhearing architecture in which an overhearer agent monitors the conversation between some service agents [2]. Suggester agents subscribe to the overhearer and are informed by the overhearer when certain information is being communicated between the service agents.…”

Section: Related Workmentioning

confidence: 99%

“…overhearer. The overhearers can monitor the conversations between other agents and provide assistance when necessary [1,2].…”

Section: Introductionmentioning

confidence: 99%

Multiparty proactive communication in agent teamwork

Kamali

Fan

Yen

2005

17th IEEE International Conference on Tools With Artificial Intelligence (ICTAI'05)

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Multiparty communication and proactive communication have each been studied extensively, but separately. A combinatorial approach would be to investigate proactive communication in a multiparty settings, aiming to support effective collaboration by leveraging the benefits of both. In this paper, we take a first attempt along this direction, providing formal definitions for multiparty proactive performatives. Such performatives not only result in an exchange of knowledge among teammates, but also in an increased awareness about teammates' mental states which can initiate additional helpful behaviors.

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“…The possibility of broadcasting messages to a wide audience including overhearing agents unknown to the sender is studied by Busetta et al [2,1]. In [1], communication is based on channeled multicast, with the following characteristics: many channels can co-exist; each channel is dedicated to one theme; each message has a specific destination (one agent or one group of agents); each agent can tune into any channel.…”

Section: Overhearingmentioning

confidence: 99%

Lotto

Legras

Tessier²

2003

Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems

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We present in this paper an extension to our overhearingbased group formation framework otto (Organizing Teams Through Overhearing). This framework allows a team to dynamically re-organize itself in accordance to the evolution of the communication possibilities between agents. In otto, each agent overhears some of the messages exchanged within the team and uses them to incrementally update a map of the organization of the team. One of the key points of otto is that only few resources are used -a small data structure is used to track each team member and there is no need to store the overheard messages. With lotto (otto for Large numbers of agents) we address the problem of large teams in which using otto "as is" would be costly in terms of memory and therefore contrary to otto's philosophy of low resource usage. Therefore, we have implemented a strategy that allows an agent with a limited memory to track only a part of the team. We have run a series of experiments in order to evaluate the impact of this limitation and present some results.

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Extending Multi-agent Cooperation by Overhearing

Cited by 23 publications

References 7 publications

Experiments in Selective Overhearing of Hierarchical Organizations

Experiments in Selective Overhearing of Hierarchical Organizations

Multiparty proactive communication in agent teamwork

Lotto

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