Implementing agent teams in dynamic multiagent environments

Tambe, Milind

doi:10.1080/088395198117820

Cited by 36 publications

(19 citation statements)

References 5 publications

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“…These dynamic environments are characterized by rapidly changing circumstances that participants are expected, and often required, to deal with, and by the amount of information that participants have to consider when they make decisions. Examples of applications for heterogeneous human-agent teams in dynamic environments include autonomous agent pilots that work together with people to complete a joint mission (Tambe, Johnson, Jones, Koss, Laird, Rosenbloom & Schwamb, 1995;Tambe, 1998), or mission execution assistants for astronauts to help them empower their cognitive capacities (van Diggelen, Bradshaw, Grant, Johnson & Neerincx, 2009).…”

Section: Introductionmentioning

confidence: 99%

Human–agent teamwork in dynamic environments

Wissen

Gal

Kamphorst

et al. 2012

Computers in Human Behavior

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Section: Introductionmentioning

confidence: 99%

Human–agent teamwork in dynamic environments

Wissen

Gal

Kamphorst

et al. 2012

Computers in Human Behavior

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“…The detection of teamwork failures has been addressed in some seminal works by Tambe (1998) and Kaminka and Tambe (2000). Kalech and Kaminka (2003) have later focused on the diagnosis of these coordination failures, and have introduced the notion of social diagnosis.…”

Section: Teamwork-oriented Approachesmentioning

confidence: 99%

Cooperative Monitoring to Diagnose Multiagent Plans

Micalizio¹,

Torasso²

2014

jair

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Diagnosing the execution of a Multiagent Plan (MAP) means identifying and explaining action failures (i.e., actions that did not reach their expected effects). Current approaches to MAP diagnosis are substantially centralized, and assume that action failures are independent of each other.In this paper, the diagnosis of MAPs, executed in a dynamic and partially observable environment, is addressed in a fully distributed and asynchronous way; in addition, action failures are no longer assumed as independent of each other.The paper presents a novel methodology, named Cooperative Weak-Committed Monitoring (CWCM), enabling agents to cooperate while monitoring their own actions. Cooperation helps the agents to cope with very scarcely observable environments: what an agent cannot observe directly can be acquired from other agents. CWCM exploits nondeterministic action models to carry out two main tasks: detecting action failures and building trajectory-sets (i.e., structures representing the knowledge an agent has about the environment in the recent past). Relying on trajectory-sets, each agent is able to explain its own action failures in terms of exogenous events that have occurred during the execution of the actions themselves. To cope with dependent failures, CWCM is coupled with a diagnostic engine that distinguishes between primary and secondary action failures.An experimental analysis demonstrates that the CWCM methodology, together with the proposed diagnostic inferences, are effective in identifying and explaining action failures even in scenarios where the system observability is significantly reduced.

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“…Other work on multi-agent team coordination has focussed on "joint intentions" and using explicit models of team plans to define individual agent plans (Tambe 1997), often using constraint satisfaction and on-line repairs to adapt to evolving environments and conflicts between agent plans (Jung, Tambe, & Kulkarni 2001;Tate, Levine, & Dalton 1999). While the higher levels of the CIRCA architecture do support elements of this approach, our current work is focused on building plans that accurately model and control the dynamics of coordination between agents at run-time.…”

Section: Related Workmentioning

confidence: 99%

Building Coordinated Real-Time Control Plans

Musliner

Pelican

Krebsbach

2009

Safety and Security in Multiagent Systems

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We are interested in developing multi-agent systems that can provide real-time performance guarantees for critical missions that require cooperation. In particular, we are developing methods for teams of CIRCA agents to build coordinated plans that include explicit runtime communications to support distributed realtime reactivity to the environment. These teams can build plans in which different agents use their unique capabilities to guarantee that the team will respond in a coordinated fashion to mission-critical events. By reasoning explicitly about different agent roles, the agents can identify what communications must be exchanged in different situations. And, by reasoning explicitly about domain deadlines and communication time, the agents can build reactive plans that provide end-to-end performance guarantees spanning multiagent teams.

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Implementing agent teams in dynamic multiagent environments

Cited by 36 publications

References 5 publications

Human–agent teamwork in dynamic environments

Human–agent teamwork in dynamic environments

Cooperative Monitoring to Diagnose Multiagent Plans

Building Coordinated Real-Time Control Plans

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