Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
Parallel program design: a foundation
Parallel program design: a foundation
Soar/PSM-E: investigating match parallelism in a learning production sytsem
PPEALS '88 Proceedings of the ACM/SIGPLAN conference on Parallel programming: experience with applications, languages and systems
Parallelism in Production Systems
Parallelism in Production Systems
Parallelizing Transformations for a Concurrent Rule Execution Language
Parallelizing Transformations for a Concurrent Rule Execution Language
A methodology for programming production systems and its implications on parallelism
A methodology for programming production systems and its implications on parallelism
Performance comparison of models for multiple rule firing
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Implementation of multiple rule firing production systems on hypercube
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Concurrent goal-based execution of constraint handling rules
Theory and Practice of Logic Programming
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Conflict resolution is a form of global control used in production systems to achieve an efficient sequential execution of a rule-based program. This type of control is not used in parallel production system models[6, 13]. Instead, only those programs are executed which make no assumptions regarding conflict resolution. Therefore, the initial sequential rule-based programs are either executed in parallel without their conflict resolution strategy, which normally results in incorrect behavior, or the programs are transformed in an ad hoc manner to execute on a particular parallel production system model. As a result, these programs do not exhibit the parallelism hoped for [10, 13].We believe that a second reason behind the lack of parallelism is that no formal methods of verifying the correctness of rule-based programs are utilized. Correctness is especially important when conflict resolution is no longer utilized, because it necessary to transform sequential rule-based programs into equivalent programs without conflict resolution. Also, the parallel execution of a rule-based program is more complex and demands these formal methods even more than its sequential counterpart.We are concerned with designing and developing correct rule-based programs for parallel execution. In this paper, we show the difficulty in transforming a simple sequential rule-based program to a new version of the program with no conflict resolution. Also, we show that the use of a new programming paradigm and language may result in more efficient programs which are provably correct, and can be executed in parallel.