Peer-to-peer coupled agent systems for distributed situation management

Buford, John F.; Jakobson, Gabriel; Lewis, Lundy

doi:10.1016/j.inffus.2009.09.004

Cited by 5 publications

(9 citation statements)

References 24 publications

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“…At the higher levels there are many examples, such as agents dealing with situation management or event analysis [127]. So, in [128] situation awareness is implemented with peer-to-peer multiagent system to overcome the limitations and localized knowledge of each agent platform. Since the cooperation and sharing interactions may not be predefined a priori, this leads to requirements for semanticbased agent discovery, with a service overlay approach.…”

Section: Situation Assessmentmentioning

confidence: 99%

Context-based Information Fusion: A survey and discussion

2015

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This survey aims to provide a comprehensive status of recent and current research on context-based Information Fusion (IF) systems, tracing back the roots of the original thinking behind the development of the concept of ''context''. It shows how its fortune in the distributed computing world eventually per-meated in the world of IF, discussing the current strategies and techniques, and hinting possible future trends. IF processes can represent context at different levels (structural and physical constraints of the scenario, a priori known operational rules between entities and environment, dynamic relationships modelled to interpret the system output, etc.). In addition to the survey, several novel context exploita-tion dynamics and architectural aspects peculiar to the fusion domain are presented and discussed.

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Section: Situation Assessmentmentioning

confidence: 99%

Context-based Information Fusion: A survey and discussion

2015

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“…Finally, Buford et al addresses distributed situation management by proposing a coupling of agent platforms (AP) and P2P overlay networks which address interoperability and high scalability requirements [4]. In order to share events and situations between peers, a two-phase semantic discovery mechanism is supported: the protocol uses a Distributed Hash Table (DHT) to discover an AP of interest, followed by sending a semantic query to the directory service on the AP.…”

Section: Assessment In Distributed Settingsmentioning

confidence: 99%

“…The agent first checks whether its local observations agree with the proposed assessment, say P x (line 2). If the agent agrees with the assessment P x , then it will just forward the message randomly to another agent, increasing ♯agree (lines [3][4][5][6]. If the agent disagrees, status is changed to "CHALLENGE".…”

Section: Distributed Assessment Protocolmentioning

confidence: 99%

“…Specifically, the multi-agent platform is a component of a general architecture of a system for harbor protection (developed by Selex-SI), which acquires the perceptions used in the situation assessment process from a set of heterogeneous sensors. In this context, agents represent patrol-ships and command and control workstations, while perceptions are information 4 Since we fix the number of agents this results in agents having less mutual observation of the same features With respect to the quality of the input data, the noise in the radar data can not be eliminated, therefore it will be always present in our experiments. In order to evaluate the behavior of our approach with different levels of sensor noise, we consider three different experimental settings: we call "high quality perception" the setting where we consider only radars' noise.…”

Section: Seacoast Surveillance Experimental Settingmentioning

confidence: 99%

“…In Sec.3, we present our overall multi-agent approach to Situation Assessment and focus on the knowledge base construction and the classification of situations by a single agent; in Sec. 4, we present our distributed algorithm for Situation Assessment, first defining the interaction protocol and then the knowledge management required by the assessment process; in Sec.5, we present the set of experiments performed in the context of maritime surveillance; conclusions and future work are addressed in Sec.6.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative situation assessment in a maritime scenario

Farinelli

Nardi

Pigliacampo³

et al. 2012

Int. J. Intell. Syst.

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In large-scale, complex domains such as space defense and security systems, situation assessment and decision making are evolving from centralized models to high-level, net-centric models. In this context, collaboration among the many actors involved in the situation assessment process is critical in order to achieve a prompt reaction as needed in the operational scenario.In this paper, we propose a multi-agent based approach to situation assessment, where agents cooperate by sharing local information to reach a common and coherent assessment of situations. Specifically, we characterize situation assessment as a classification process based on OWL ontology reasoning, and we provide a protocol for cooperative multi-agent situation assessment, which allows the agents to achieve coherent high level conclusions. We validate our approach in a real maritime surveillance scenario, where our prototype system effectively supports the user in detecting and classifying potential threats; moreover, our distributed solution performs comparably to a centralized method, while preserving independence of decision makers and dramatically reducing the amount of communication required.

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