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Asynchronous production systems
Knowledge-Based Systems, 1989Intelligent computing systems for aerospace, robotics and process control applications require an integration of traditional expert system technologies with real-time response and control capabilities. To address such requirements, the Asynchronous Production System (APS) is presented, which is a rule-based inference engine capable of monitoring and ...
A. S. Sabharwal +3 more
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Production systems with feedback
ACM SIGART Bulletin, 1977Production systems provide a methodology for using knowledge embedded in (condition A action) pairs. An action is performed when its conditions match the state of a current data base. When multiple conditions match the data base simultaneously, however, the problem arises of which productions should be executed.
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2003
This chapter ties together ideas introduced in previous articles of this volume in the search for ways to use plant cell cultures as industrial production systems. The economics of a process must always be carefully considered when examining the suitability of plant cell culture for the manufacture of target compounds.
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This chapter ties together ideas introduced in previous articles of this volume in the search for ways to use plant cell cultures as industrial production systems. The economics of a process must always be carefully considered when examining the suitability of plant cell culture for the manufacture of target compounds.
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Relational production systems☆
Artificial Intelligence, 1977A relational production system (rps) is a general purpose, formal information processing model developed to support research in artificial intelligence and related areas where a conjunction of predicate calculus literals is a convenient state description language. Rps maintains a strong analogy with type O string grammars. It consists of a "situation",
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ACM SIGART Bulletin, 1977
The use of production systems as the primary method for encoding knowledge in large knowledge-based systems is discussed at two levels; their suitability as an architecture that can be efficiently supported and their appropriateness as a language of expression.
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The use of production systems as the primary method for encoding knowledge in large knowledge-based systems is discussed at two levels; their suitability as an architecture that can be efficiently supported and their appropriateness as a language of expression.
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Controllability of product systems
Systems & Control Letters, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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IFAC Proceedings Volumes, 1980
Abstract There has been formulated the problem of production system(SP)control. It comprises the control of various kinds of operations in SP, namely: production control, raw materials supply oontrol, products shipping control and control of repairs of production sections (ZP).
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Abstract There has been formulated the problem of production system(SP)control. It comprises the control of various kinds of operations in SP, namely: production control, raw materials supply oontrol, products shipping control and control of repairs of production sections (ZP).
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Production Systems in Agriculture
2021The essay focuses on the institutional and technical elements that made Lombard agriculture a modern sector, capable not only to ensure subsistence to three millions people, but also to supply raw materials to local and foreign industries, and in general to give a remarkable contribute to the regional economy, both private and public.
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Inconsistency of production systems
Data & Knowledge Engineering, 1989Abstract Production systems are widely used for knowledge representation in expert systems. Using production systems it is possible to specify inconsistent knowledge, but in the case of inconsistency the world kept in mind when establishing the knowledge is most probably not formalized.
Hans Kleine Büning +2 more
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Production scheduling in database production systems
Systems Integration '90. Proceedings of the First International Conference on Systems Integration, 2002A framework for parallelizing both matching and execution phases of a production system is presented. It is shown how concurrency causes new problems, which, if not handled carefully, can lead to inconsistent semantics. A new kind of data conflict is identified as the root cause of this problem.
Jaideep Srivastava +4 more
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