NDLI: Inferring threats in urban environments with uncertain and approximate data: an agent-based approach

Content Provider	Springer Nature Link
Author	Lewis, Lundy Buford, John Jakobson, Gabriel
Copyright Year	2007
Abstract	In this article we discuss the problem of inferring threats in an urban environment, where the knowledge of the environment involves multiple types of intelligence and infrastructure data, and is by nature uncertain or approximate. We use a collection of situation-aware agents to infer potential threats in such environments, where agents are responsible for event correlation and situation assessment. We review the weaknesses of a current approach to threat assessment in Homeland Security and then describe our agent-based approach. The key innovations of our agent-based approach are: an ontological commitment to events and situations, fuzzy event correlation, fuzzy situation assessment, adaptability and learning during threat assessment operations, and an enhancement of traditional belief-desire-intention (BDI) agents with situation awareness. We describe the properties of situation-aware BDI agents and discuss the implementation of them on a variety of BDI agent platforms. Lastly, we discuss the interoperability of these platforms and address the issue of scalability through coupling to large-scale peer-to-peer overlays.
Starting Page	220
Ending Page	232
Page Count	13
File Format	PDF
ISSN	0924669X
Journal	Applied Intelligence
Volume Number	30
Issue Number	3
e-ISSN	15737497
Language	English
Publisher	Springer US
Publisher Date	2007-08-28
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Threat assessment Uncertain/approximate data BDI agent Fuzzy Agent platform Peer-to-peer overlay Manufacturing, Machines, Tools Mechanical Engineering Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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