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  1. Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems (IEA/AIE '88)
  2. Approximate spatial reasoning
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Generic expert system shell for diagnostic reasoning
Pattern-based fault diagnosis using neural networks
Okies: a troubleshooter in the factory
Diagnosing multiple faults using knowledge about malfunctioning behavior
A paradigm for building diagnostic expert systems by specializing generic device and reasoning models
Expert diagnostic system
A hierarchical symptom classification for model based causal reasoning
The ISA expert system: a prototype system for failure diagnosis on the space station
A diagnostic expert system for analyzing multiple-failure transients in nuclear power plants
Using hypertext to overcome the knowledge base development bottleneck: a case study
Similarity-based reasoning about diagnosis of analog circuits
PISCES: an expert system for coal fired power plant monitoring and diagnostics
SASHA: the automatic generation of rule-based diagnostic expert systems
A general architecture for factory-based diagnosis of electronics
Sherlock—a system for diagnosing power distribution ring network faults
A dynamic constraint-directed ordered search algorithm for solving constraint satisfaction problems
Approximate spatial reasoning
Design of a dependency-directed compiler for constraint propagation
INQUEST: A prototype intelligence tool
Integrating causal reasoning at different levels of abstraction
Adaptation of plans via annotation verification
Goal-directed semantic tutor
The responsive system: a new challenge for AI
Adding rule-based techniques to procedural languages
SIMS: a uniform environment for planning and performing user's tasks
The application of classifier systems to the acquisition of software engineering knowledge
Generating interesting scenarios from system descriptions
Symbiotic systems for complex problems
Experience of constructing a fault localisation expert system using an AI toolkit
Knowledge base applications with software engineering: a tool for requirements specifications
An application of heuristic search techniques to the problem of flight path generation in a military hostile environment
A knowledge-based manager for software engineering projects
Using expert systems components to enhance reliability analysis tools
Improving performance of an electrical power expert system with genetic algorithms
A blackboard architecture for problem solving and machine learning in an expert system for power system voltage control
A rule-based system for interactive proposal evaluation
The development of an automated flight test management system for flight test planning and monitoring
A knowledge based message interpretation for the maintenance of an electronic switching system
Flight mission scenario generation with knowledge-based system
An expert system for configuring a device simulator for semiconductor structures
SMARTGEN: the implementation of an expert system for the generation of digital logic diagnostic tests
Artificial intelligence approaches in space power systems automation at Marshall space flight center
The network control assistant (NCA), a real-time prototype expert system for network management
The development of Prometheus: an expert system tool for preliminary design of spacecraft thermal control systems
DFTEXPERT: an expert system for design of testable VLSI circuits
Uncertainty management in intelligent design aiding systems
Automated design and analysis system for design of custom orthopedic implants
Applications of an AI design shell ENGINEOUS to advanced engineering products
Process design of oil and gas production facilities using expert systems
Computer-generated design of electric circuits
A distributed artificial intelligence approach to integrated engineering design
Annotator: an AI approach to engineering drawing annotation
Automated circuit diagnosis using first order logic tools
Integrated environment for intelligent control
A representational language for qualitative process control
Methodologies for a real-time intelligent supervisory system for a hot strip mill finisher
Process control with the G2 real-time expert system
ProCEED: an expert system for multivariate process control systems design
A neural control element in a control systems application
GTEX—A group technology expert system
Tolerant planning and negotiation in generating coordinated movement plans in an automated factory
An expert database for material and production planning
A critiquing model of flexible constraint evaluation for a scheduler's workbench
A comparison of the artistic aspects of various industrial robots
Intelligent mobile robots in the workplace: leaving the guide behind
Autonomous robot controller with a dual strategy of decision making
Heuristic control system for autonomous navigation
A mission planning architecture for an autonomous vehicle
Tram: a blackboard architecture for autonomous robots
An expert autonomous vacuum cleaner robot
A methodology of autonomous navigation in 3-D space under location uncertainty
Intelligent module for planning/control of master-dependent systems
Evaluating the impact of camera placement on teleoperator efficiency

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Approximate spatial reasoning

Content Provider ACM Digital Library
Author Dutta, Soumitra
Abstract It is a truism that much of human reasoning is approximate in nature. Spatial reasoning is an area where humans consistently reason approximately with demonstrably good results. The unique mental processes behind these actions are not well understood. However, it is important that we try to incorporate such approximate reasoning techniques in our computer systems. Approximate spatial reasoning is very important for intelligent mobile agents (e.g., robots), specially for those operating in uncertain or unknown or dynamic domains. In such situations, besides the hazard in the domain, the real constraints (e.g., limited memory and limited time for observations and/or inferencing) faced by agents makes the use of approximate reasoning techniques imperative. In this paper we present a model for approximate spatial reasoning using fuzzy logic to represent the uncertainty in the environment. We develop algorithms to reason about spatial information expressed in the form of approximate linguistic descriptions, very similar to the kind of spatial information processed by humans. We only deal with static spatial reasoning in this paper.
Starting Page 126
Ending Page 140
Page Count 15
File Format PDF
ISBN 0897912713
DOI 10.1145/51909.51925
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 1988-06-01
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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