The Analysis of Coordination in an Information System Application – Emergency Medical Services

Wei, Chen; Decker, Keith

doi:10.1007/11426714_3

Cited by 12 publications

(7 citation statements)

References 12 publications

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“…the type of the incident, whether there is any victim at the incident, the dispatcher contacts an appropriate response agency or multiple agencies and sends appropriate vehicles to the incident location; the response vehicle finds its way to the incident location; then proper management of the incident is provided until the incident is considered finished; if any victim needs further medical care, an ambulance will be called to the incident location and the victim will be transported to a proper medical facility by the ambulance; if the incident still requires additional care, other appropriate response vehicles will be dispatched to the incident location as well; after the incident is finished, all participating response vehicles find their ways back to their base stations or move on in response to other incident calls. Further description about the simulated EMS system can be found in [3,2]. In this paper, we will concentrate on explaining the task structures of response agents within EMS and the application of our extended GPGP mechanisms in this environment.…”

Section: A Simulated Emergency Medical Service (Ems) Systemmentioning

confidence: 99%

Analyzing characteristics of task structures to develop GPGP coordination mechanisms

Chen

Decker

2006

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

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Previous research about multi-agent coordination has concentrated at a high level, e.g. developing communication protocols for coordination, constructing special purpose agents to dictate the coordination behaviors of an entire system, or associating rules or coordination mechanisms with every agent to achieve cooperative behaviors. Much less research addresses multi-agent coordination at a low level: evaluating the effects of agents' task structures upon agents' coordination behaviors. This paper presents an Extended Hierarchical Task Network (EHTN) to represent precisely those structural features that affect coordination. Using this EHTN formalism, an extended set of Generalized Partial Global Planning (GPGP) coordination mechanisms has been developed for multi-agent coordination. Each coordination mechanism is defined in terms of EHTN rewriting rules and an associated set of pre-defined EHTN behaviors. This set of GPGP coordination mechanisms has been applied to a simulated emergency medical service (EMS) system. The experimental results reveal some of the performance relationships between specific mechanisms and external environmental characteristics.

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Section: A Simulated Emergency Medical Service (Ems) Systemmentioning

confidence: 99%

Analyzing characteristics of task structures to develop GPGP coordination mechanisms

Chen

Decker

2006

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

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“…[4]. Another example is the on-line coordination of pre-planned activities in dynamic environments such as military, lawenforcement, or disaster planning scenarios [3]. Several law-enforcement units may wish to surprise suspects at different locations nearly simultaneously so they cannot warn each other.…”

Section: Introductionmentioning

confidence: 99%

Swarming Polyagents Executing Hierarchical Task Networks

Brueckner¹,

Belding²,

Bisson³

et al. 2009

2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems

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Swarming agents often operate in benign geographic topologies that let them explore alternative trajectories with minor variations that the agent dynamics then amplify for improved performance. In this paper we demonstrate the deployment of swarming agents in the nonmetric and discontinuous topology of a process graph. We align our research with traditional AI approaches and focus on Hierarchical Task Network (HTN) descriptions of constraints and preferences in the execution of abstract methods by a group of real-world entities. In particular, we adapt the TAEMS representation to place a greater emphasis on the mediation of method-execution through shared resources and collectively achieved quality (stigmergic coordination). The paper presents our polyagent model and experiments that demonstrate the scalability of the system and the ability of our agents to achieve optimal entity coordination.

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“…[4]. Another example is the on-line coordination of preplanned activities in dynamic environments such as military, law-enforcement, or disaster planning scenarios [3]. Several law-enforcement units may wish to surprise suspects at different locations nearly simultaneously so they cannot warn each other.…”

Section: Introductionmentioning

confidence: 99%

ONR C-IED STIFLE (Stigmergic Tracking of IED Factories, Locations and Events

Brueckner¹,

Decker²,

Savit³

2009

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Tht public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0168), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law. no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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The Analysis of Coordination in an Information System Application – Emergency Medical Services

Cited by 12 publications

References 12 publications

Analyzing characteristics of task structures to develop GPGP coordination mechanisms

Analyzing characteristics of task structures to develop GPGP coordination mechanisms

Swarming Polyagents Executing Hierarchical Task Networks

ONR C-IED STIFLE (Stigmergic Tracking of IED Factories, Locations and Events

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