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Lawrence D. Stone, Johannes O. Royset and Alan R. Washburn
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Lawrence D. Stone: Metron, Inc.
Johannes O. Royset: Naval Postgraduate School
Alan R. Washburn: Naval Postgraduate School

Chapter Chapter 7 in Optimal Search for Moving Targets, 2016, pp 189-207 from Springer

Abstract: Abstract So far in this book we have essentially assumed that the target is either indifferent to the outcome or unable to influence it. Any uncertainty about target location has been in accord with a stochastic model of some kind that the searcher understands. If there is uncertainty about initial location, as in Chap. 2, then a probability distribution for that location has been given. If there is also uncertainty about subsequent movement, as in later chapters, then a probability law for that motion has also been given. But the target of search might have an opinion about whether being found is actually a desirable outcome, and might also be able to influence it. In this chapter we will consider the target to be sentient, making his choices about location and movement to either discourage detection (Sect. 7.1) or encourage it (Sect. 7.2). The searcher will know the target’s capabilities, but not his habits or intentions, so probability laws for the target’s location and movement will be missing.

Keywords: Unit Disk; Detection Probability; Exhaustive Search; Payoff Matrix; Symmetric Strategy (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-26899-6_7

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DOI: 10.1007/978-3-319-26899-6_7

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