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A stationary object is hidden in location i, i=1,2,...,K, with probability p i . There are M sensors available and each location can be searched by at most one sensor at each instant of time. Each search of a location takes one unit of time and is conducted independently of previous searches, so...
Persistent link: https://www.econbiz.de/10010759183
We study a new search problem in continuous time. In the traditional approach, the basic formulation is to maximize the expected (discounted) return obtained by taking a job, net of search cost incurred until the job is taken. Implicitly assumed in the traditional modeling is that the agent has...
Persistent link: https://www.econbiz.de/10010759478
A stationary object is hidden in location i, i=1,2,...,K, with probability p <Subscript> i </Subscript>. There are M sensors available and each location can be searched by at most one sensor at each instant of time. Each search of a location takes one unit of time and is conducted independently of previous searches,...</subscript>
Persistent link: https://www.econbiz.de/10010999586
We study a new search problem in continuous time. In the traditional approach, the basic formulation is to maximize the expected (discounted) return obtained by taking a job, net of search cost incurred until the job is taken. Implicitly assumed in the traditional modeling is that the agent has...
Persistent link: https://www.econbiz.de/10010950271
In this paper we study the problem of patrolling a perimeter. The general situation considered here can correspond to different tactical problems and it is studied from the point of view of game theory. To put the ideas in a context we describe it as follows. An intruder seeks to carry out a...
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