Principles of artificial intelligence
Principles of artificial intelligence
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
Toward expert systems on a chip
ACM SIGART Bulletin
Computing, research, and war: if knowledge is power, where is responsibility?
Communications of the ACM
An expert systems based methodology for solving resource allocation problems
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
An expert system for treadmill excercise ECG test analysis (abtracts)
CSC '86 Proceedings of the 1986 ACM fourteenth annual conference on Computer science
Knowledge-Based Approaches for Scheduling Problems: A Survey
IEEE Transactions on Knowledge and Data Engineering
RAPS: A Rule-Based Language for Specifying Resource Allocation and Time-Tabling Problems
IEEE Transactions on Knowledge and Data Engineering
An Explanation Facility for Today's Expert Systems
IEEE Expert: Intelligent Systems and Their Applications
A Generic Library of Problem Solving Methods for Scheduling Applications
IEEE Transactions on Knowledge and Data Engineering
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We describe an expert system for resource allocation in a particular military domain. The system incorporates variants of several important techniques of artificial intelligence and makes the first use of the Merit system for question selection. This technique enables the system to direct the acquisition of information by finding questions with a high ratio of probable importance to difficulty. In the current application, each resource is a military weapon, each task to which such a resource can be allocated is firing at a military target, and the objective function is the expected reduction in value of targets. The coefficients that relate a particular resource to a particular task are not provided explicitly. Instead, in the first phase of the allocation process, the system uses a computation network to determine the effectiveness of each individual weapon against each prospective target. The network, built by a domain expert in advance, allows reasoning with logical, Bayesian, and expert-defined operators. After the calculation of individual effectiveness values, portions of an allocation tree are constructed to determine good allocation plans for the set of weapons. The individual effectiveness values are used to direct the traversal and pruning of the allocation tree.