Production systems have pessimistically been hypothesized to contain only minimal amounts of parallelism [Gupta 1984]. However, techniques are being investigated to extract more parallelism from existing systems. Among these methods, it is desirable to find those which balance the work being performed in parallel evenly among the rules, while at the same time decrease the amount of work which must be performed sequentially in each cycle. The technique of creating constrained copies of culprit rules accomplishes both of the above goals. Production systems are plagued by occasional rules which slow down the entire execution. These rules require much more processing than others and thus cause other processors to idle while the culprit rules co...
Production systems are widely used in artificial intelligence to capture the notion of expertise in ...
In recent years, the development of expert systems implemented by rule-based production systems has...
In this paper, a new model to parallelize the backward-chaining inference technique in production sy...
Production systems have pessimistically been hypothesized to contain only minimal amounts of paralle...
In this brief paper we report a simple scheme to extract implicit parallelism in the low-level match...
This dissertation studies the issues raised by the parallel execution of rules in a pattern-matching...
Production systems, also called rule-based systems, are very useful in automating certain human expe...
CUCS-174-85 In this brier paper we report a. simple scheme to extract implicit parallelism in the lo...
Conflict resolution is a form of global control used in production systems to achieve an efficient s...
This paper presents a survey of computer architectures designed to execute production systems. After...
Production systems usually present unacceptable run-times when faced with applications requiring ten...
In a general manner we discuss the appropriateness of three classes of parallel computers for one AI...
This paper presents a new production system architecture that uses serializability as a correctness ...
Although the problem of increasing the speed of rulebased programs by parallel processing has been s...
This paper presents a new parallel processing scheme called DYNAMIC-JOIN for OPS5-like production sy...
Production systems are widely used in artificial intelligence to capture the notion of expertise in ...
In recent years, the development of expert systems implemented by rule-based production systems has...
In this paper, a new model to parallelize the backward-chaining inference technique in production sy...
Production systems have pessimistically been hypothesized to contain only minimal amounts of paralle...
In this brief paper we report a simple scheme to extract implicit parallelism in the low-level match...
This dissertation studies the issues raised by the parallel execution of rules in a pattern-matching...
Production systems, also called rule-based systems, are very useful in automating certain human expe...
CUCS-174-85 In this brier paper we report a. simple scheme to extract implicit parallelism in the lo...
Conflict resolution is a form of global control used in production systems to achieve an efficient s...
This paper presents a survey of computer architectures designed to execute production systems. After...
Production systems usually present unacceptable run-times when faced with applications requiring ten...
In a general manner we discuss the appropriateness of three classes of parallel computers for one AI...
This paper presents a new production system architecture that uses serializability as a correctness ...
Although the problem of increasing the speed of rulebased programs by parallel processing has been s...
This paper presents a new parallel processing scheme called DYNAMIC-JOIN for OPS5-like production sy...
Production systems are widely used in artificial intelligence to capture the notion of expertise in ...
In recent years, the development of expert systems implemented by rule-based production systems has...
In this paper, a new model to parallelize the backward-chaining inference technique in production sy...