NDLI: Expert system on a chip: an engine for real-time approximate reasoning

Please wait, while we are loading the content...

Recent developments in expert systems

Generic tasks in knowledge-based reasoning: a level of abstraction that supports knowledge acquisition, system design and explanation

The frame-definition language for customizing the Raffaello structure-editor in host expert systems

Knowledge base organization in expert systems

NESS: A coupled simulation expert system

Design of an expert system for utilization research

An expert system for dynamic scheduling

Beginners' strategies in example based expert systems

Acquisition of knowledge from data

A decidable query answering algorithm for circumscriptive theories

Fuzzy knowledge engineering techniques in scientific document classification

A semantic and logical front-end to a database system

A knowledge-based approach to online document retrieval system design

Towards an intelligent and personalized retrieval system

Induction of models under uncertainty

The concept of a generalized assignment statement and its application to commonsense reasoning

Expert system on a chip: an engine for real-time approximate reasoning

Selecting expert system frameworks within the Bayesian theory

Inference propagation in emitter, system hierarchies

Estimation of minimax values

Aggregating criteria with quantifiers

Approximating sets with equivalence relations

Evidential logic and Dempster-Shafer theory

Algebraic versus probabilistic independence in decision theory

Automated theorem proving: mapping logic into AI

Extensions to functional programming in Scheme

Logic programming semantics using a compact data structure

On the relationship between autoepistemic logic and parallel circumscription

A preliminary excursion into step-logics

Tree resolution and generalized semantic tree

An inference model for inheritance hierarchies with exceptions

Analogical reasoning in planning and decision making

Emerging principles in machine learning

Memory length as a feedback parameter in learning systems

Experimenting and theorizing in theory formation

On learning and evaluation of decision rules in the context of rough sets

Taxonomic ambiguities in category variations needed to support machine conceptualization

A model for self-adaptation in a robot colony

Viable inference systems

Self-improvement in problem-solving

Logical foundations for knowledge representation in intelligent systems

Simulations and symbolic explanations

Notes on conceptual representations

Spaceprobe: A system for representing complex knowledge

Challenges in applying artificial intelligence methodologies to military operations

Knowledge-based processing/interpretation of oceanographic satellite data

A framework for knowledge representation and use in pattern analysis

Algebraic properties of knowledge representation systems

Prime rule-based methodologies give inadequate control

Expert system on a chip: an engine for real-time approximate reasoning

Content Provider	ACM Digital Library
Author	Watanabe, H Togai, M
Abstract	The role of inferencing with uncertainty is becoming more important in rule-based expert systems (ES), since knowledge given by a human expert is often uncertain or imprecise. We have succeeded in designing a VLSI chip which can perform an entire inference process based on fuzzy logic. The design of the VLSI fuzzy inference engine emphasizes simplicity, extensibility, and efficiency (operational speed and layout area). It is fabricated in 2.5 μm CMOS technology. The inference engine consists of three major components; a rule set memory, an inference processor, and a controller. In this implementation, a rule set memory is realized by a read only memory (ROM). The controller consists of two counters. In the inference processor, one data path is laid out for each rule. The number of the inference rule can be increased adding more data paths to the inference processor. All rules are executed in parallel, but each rule is processed serially. The logical structure of fuzzy inference proposed in the current paper maps nicely onto the VLSI structure.A two-phase nonoverlapping clocking scheme is used. Timing tests indicate that the inference engine can operate at approximately 20.8 MHz. This translates to an execution speed of approximately 80,000 Fuzzy Logical Inferences Per Second (FLIPS), and indicates that the inference engine is suitable for a demanding real-time application. The potential applications include decision-making in the area of command and control for intelligent robot systems, process control, missile and aircraft guidance, and other high performance machines.
Starting Page	147
Ending Page	154
Page Count	8
File Format	PDF
ISBN	0897912063
DOI	10.1145/12808.12825
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1986-12-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in