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Real-time expert systems computer architecture

Author: R F Hodson
Publisher: Milton : CRC Press, 2018.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Expert systems and real-time systems technology have been developed independently. Expert systems have been successfully implemented in many complex applications traditionally performed by human experts. Real-time systems have been successfully applied in areas requiring interaction with dynamic environments, control and monitoring applications for example. Merging these two technologies will yield intelligent  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Hodson, R.F.
Real-Time Expert Systems Computer Architecture.
Milton : CRC Press, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: R F Hodson
ISBN: 9781351093101 135109310X 9781351076203 1351076205 9781351084659 1351084658
OCLC Number: 1020699137
Notes: B.5.2 CP Code Segment Descriptions
Description: 1 online resource (301 pages)
Contents: Cover; Title Page; Copyright Page; Dedication; PREFACE; THE AUTHORS; Table of Contents; 1: Real-Time Expert Systems; 1.1 Expert Systems; 1.2 Real-Time Systems; 1.3 Why Real-Time Expert System?; 1.4 Existing Architectures; 1.4.1 von Neumann Architectures; 1.4.2 Dataflow Architectures; 1.4.3 Multiprocessor Systems; 1.5 Systems Requirements; 1.5.1 Timing; 1.5.2 Procedural & Declarative Representations; 1.5.3 Uncertainty; 1.5.4 Environment Interface; 1.5.5 Hierarchical Organization; 1.6 Summary; 2: System Design; 2.1 Topology; 2.2 Processor Structure; 2.2.1 Interference Mechanism 2.2.2 Dataflow Methodology2.2.3 Priority; 2.2.4 Uncertainty Processing; 2.2.5 External Interface; 2.2.6 Temporal Data; 2.2.7 Procedural Data; 2.2.8 Communication; 2.2.9 Dynamic Memories; 2.3 Summary; 3: System Implementation; 3.1 ARL Implementation; 3.1.1 ARL Control; 3.1.2 ARL Interfaces; 3.1.3 Memory Address Hardware; 3.1.4 Rule Memory; 3.1.5 ARL Memory; 3.1.6 Memory Register; 3.1.7 Decrement Logic; 3.1.8 Link Priority Logic; 3.1.9 Negation Logic; 3.1.10 Min/Max Logic; 3.1.11 ARL Microcode; 3.2 APQ Implementation; 3.2.1 APQ Control; 3.2.2 APQ Interfaces; 3.2.3 APQ Priority Logic 3.2.4 APQ Memory Organization3.2.5 APQ Register File; 3.2.6 APQ Free Register and Pointer Buffer; 3.2.7 APQ Empty Queue Logic; 3.2.8 APQ Microcode; 3.3. CPQ Implementation; 3.3.1 CPQ Microcode; 3.4 AP Implementation; 3.4.1 AP Control; 3.4.2 AP Interfaces; 3.4.3 Antecedent Memory; 3.4.4 Antecedent Compare Hardware; 3.4.5 Wait List Memory; 3.4.6 AP Microcode; 3.5 CP Implementation; 3.5.1 CP Code; 3.6 WM Implementation; 3.7 Message Buffer Implementation; 3.8 External Interface Implementation; 3.9 Real-Time Clock Implementation; 3.10 System Reset Implementation; 3.11 Clock Distribution 3.12 Summary4: System Simulation; 4.1 Simulation Goals; 4.2 Simulation Approach; 4.2.1 Discrete-Event Simulation; 4.2.2 Process Concept; 4.2.3 Resource Concept; 4.2.4 Process-Resource Example; 4.2.5 Program Structure; 4.2.6 Simulation Model; 4.3 Simulation Results; 4.3.1 Peak & Typical Processing Rates; 4.3.2 Effect of ICUs; 4.3.3 Effect of Tasks; 4.3.4 Effect of Pruning; 4.4 Conclusion; Bibliography; A: Hardware Diagrams; A.1 ARL Hardware; A.2 APQ Hardware; A.3 CPQ Hardware; A.4 AP Hardware; A.5 CP Hardware; A.6 WM Hardware; A.7 MB Hardware; A.8 External Interface Hardware A.9 Real-Time Clock HardwareA. 10 System Reset Hardware; A.11 Clock Generation Hardware; B: Sequencer and Microprocessor Code; B.1 ARL Microcode; B.1.1 Microbit Definitions; B.1.2 Test Bit Definitions; B.1.3 Microcode Description; B.2 APQ Microcode; B.2.1 Microbit Definition; B.2.2 Test Bit Definition; B.2.3 Microcode Description; B.3 CPQ Microcode; B.3.1 Microbit Definition; B.3.2 Test Bit Definition; B.3.3 Microcode Description; B.4 AP Microcode; B.4.1 Microbit Definition; B.4.2 Test Bit Definition; B.4.3 Microcode Description; B.5 CP Code; B.5.1 CP Address Map
Responsibility: Robert F. Hodson, Abraham Kandel.

Abstract:

Expert systems and real-time systems technology have been developed independently. Expert systems have been successfully implemented in many complex applications traditionally performed by human experts. Real-time systems have been successfully applied in areas requiring interaction with dynamic environments, control and monitoring applications for example. Merging these two technologies will yield intelligent systems capable of interacting with complex dynamic environments, an area in which human operators exhibit poor productivity, due to cognitive overload.

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