Information and multi-sensor coordination

The control and integration of distributed, multi-sensor perceptual systems is a complex and challenging problem. The observations or opinions of different sensors are often disparate, incomparable and are usually only partial views. Sensor information is inherently uncertain, and in addition the individual sensors may themselves be in error with respect to the system as a whole. The successful operation of a multi-sensor system must account for this uncertainty and provide for the aggregation of disparate information in an intelligent and robust manner. We consider the sensors of a multi-sensor system to be members or agents of a team, able to offer opinions and bargain in group decisions. We will analyze the coordination and control of this structure using a theory of team decision making. We present some new analytic results on multi-sensor aggregation and detail a simulation which we use to investigate our ideas. This simulation provides a basis for the analysis of complex agent structures cooperating in the presence of uncertainty. The results of this study are discussed with reference to multi-sensor robot systems, distributed AI and decision making under uncertainty.

[1]  L. J. Savage,et al.  The Foundations of Statistics , 1955 .

[2]  John McCarthy,et al.  SOME PHILOSOPHICAL PROBLEMS FROM THE STANDPOINT OF ARTI CIAL INTELLIGENCE , 1987 .

[3]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[4]  Gregory D. Hager,et al.  Estimation procedures for robust sensor control , 1987, Int. J. Approx. Reason..

[5]  Y. Ho,et al.  Team decision theory and information structures in optimal control problems--Part II , 1972 .

[6]  J. Berger.  Statistical Decision Theory and Bayesian Analysis , 1988 .

[7]  James V. Zidek,et al.  Elements of Multi-Bayesian Decision Theory , 1983 .

[8]  Peter C. Cheeseman,et al.  In Defense of Probability , 1985, IJCAI.

[9]  Tamer Basar,et al.  A Tale of Four Information Structures , 1975 .

[10]  Hugh Durrant-Whyte,et al.  Integration, coordination, and control of multi-sensor robot systems , 1987 .

[11]  Michael Isfort,et al.  Knowledge and Action , 2003, Nature.

[12]  Yu-Chi Ho,et al.  Team decision theory and information structures , 1980 .

[13]  Yu-Chi Ho,et al.  Correction to "Team decision theory and information structures in optimal control problems," Parts I and II , 1972 .

[14]  Peter Dorato,et al.  Dynamic programming and stochastic control , 1978 .

[15]  James V. Zidek,et al.  Multi-Bayesian Statistical Decision Theory , 1981 .

[16]  R. Radner,et al.  Economic theory of teams , 1972 .

[17]  M. Bacharach.  Group Decisions in the Face of Differences of Opinion , 1975 .

[18]  C. B. McGuire,et al.  Comparisons of Information Structures , 1959 .

[19]  D. Bertsekas,et al.  Dynamic Programming and Stochastic Control , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[20]  J. Nash.  THE BARGAINING PROBLEM , 1950, Classics in Game Theory.

[21]  M. Degroot.  Optimal Statistical Decisions , 1970 .

[22]  Mark S. Fox,et al.  An Organizational View of Distributed Systems , 1988, IEEE Transactions on Systems, Man, and Cybernetics.

[23]  Jeffrey S. Rosenschein,et al.  Deals Among Rational Agents , 1985, IJCAI.