Digital Commons Network^™

Multivalued Approach For Uncertainty Management., Deba Prasad Mandal Dr.

Doctoral Theses

Real life problems are rarely free from uncertainty which usually emerges from the deficiencies of information available from a situation. The defi- ciencies may result from incomplete, imprecise, not fully reliable, vague or contradictory information depending on the problem. Management of uncer- tainty in a decision making system has been an important research problem for many years.Until the inception of the concept of fuzzy set theory in 1965 (1), the theory of probability and statistics was the primary mathematical tool for modeling uncertainty in a system/situation. Fuzzy set theory has shown enormous proinise in handling uncertaintics to a reasonable extent …

Artificial Intelligence As It Applies To Industrial Process Control, Robert G. Strain

Theses and Dissertations

No abstract provided.

Regulation Of Medical Expert Systems: A Necessary Evil, Frank D. Nguyen

Santa Clara Law Review

No abstract provided.

On Image Segmentation Using Neural Networks And Fuzzy Sets., Ashish Ghosh Dr.

Doctoral Theses

During the last five decades or even more a large number of researchers are trying to design intelligent systems to perform tasks at which human beings are more efficient at present. One of the most important behavioral tasks in which human beings show their expertise is image analysis or recognition; where a large amount of pictorial data is processed in a very small amount of time (called real time). Widespread attempts have been made to develop intelligent systems (under different names, like pattern recognition system, image under- standing system, computer vision system etc.) for pictorial pattern analysis and recognition. The …

Graphical Evolution Experiments In Artificial Life, Gary R. Greenfield

Department of Math & Statistics Technical Report Series

Larry Yaeger's alife simulation running on a Silicon Graphics Iris Workstation is called Poly World. Our description of PolyWorld is based on notes taken during an oral presentation and video demonstration given in the Artificial Life Panel Session of SIGGRAPH '92: In PolyWorld the visual organisms roam on a bounded two dimensional grid. The organisms "brains" are small neural nets enabling the organisms to control their external visual appearance and to perceive the external world by processing pixmaps. The simulation controls for total energy while striving to explore competition and self-organization. Genes present are for size, strength, maximum speed, mutation …

Liability Issues With Artificial Intelligence Software, Maruerite E. Gerstner

Santa Clara Law Review

No abstract provided.

An Intelligent Real-Time System Architecture Implemented In Ada, Michael A. Whelan

Theses and Dissertations

Conventional real-time systems are fully deterministic allowing for off-line, optimal, task scheduling under all circumstances. Real-time intelligent systems add non-deterministic task execution times and non- deterministic task sets for scheduling purposes. Non-deterministic task sets force intelligent real-time systems to trade-off execution time with solution quality during run-time and perform dynamic task scheduling. Four basic design considerations addressing those tradeoffs have been identified: control reasoning, focus of attention, parallelism, and algorithm efficacy. Non-real- time intelligent systems contain an environment sensor, a model of the environment, a reasoning process, and a large collection of procedural processes. Real-time intelligent systems add to these …

Uses And Applications Of Artificial Intelligence In Manufacturing, Manojkumar H. Desai

Theses

The purpose of the THESIS is to provide engineers and personnels with a overview of the concepts that underline Artificial Intelligence and Expert Systems. Artificial Intelligence is concerned with the developments of theories and techniques required to provide a computational engine with the abilities to perceive, think and act, in an intelligent manner in a complex environment.

Expert system is branch of Artificial Intelligence where the methods of reasoning emulate those of human experts. Artificial Intelligence derives it's power from its ability to represent complex forms of knowledge, some of it common sense, heuristic and symbolic, and the ability to …

A Study After Cardozo: De Cicco V. Schweizer, Noncooperative Games, And Neural Computing, Robert Birmingham

University of Miami Law Review

No abstract provided.

Design Of An Artificial Neural Network Based Tactile Sensor For The Utah/Mit Dexterous Hand, Jeffery D. Nering

Theses and Dissertations

The Neural Tactile Sensor (NTS) is a high resolution, easily manufactured tactile sensor consisting of electrodes, a thin resistive 'skin', and pattern recognition circuitry that is capable of resolving dynamic and static contact location, force, and slip throughout the continuum of the sensor's active region. The sensor operates by means of a resistive 'skin' harboring the electric field generated when a current is injected into it, and a plurality of electrodes for taking measurements of said electric field. When current flows through the resistive medium from the location of tactile contact, an electric field within the resistive medium is established, …

Hardware-Verification Through Logic Extraction, Michael A. Dukes

Theses and Dissertations

A Prolog-based system is described which employs logic-extraction to perform hardware-verification. The extraction rules are built automatically from hierarchical structural VHDL models, enabling the equivalence of a structural VHDL description and a layout specification to be verified. Pin-to-pin critical- path analysis is performed within the logic-extraction process; many noncritical paths are pruned early, making pin-to-pin critical path analysis of large circuits feasible. It is demonstrated that a design methodology based on logic extraction, VHDL, and a layout tool can provide a fabricated functionally- correct IC design without circuit-level or switch-level simulation. This methodology is shown to be practical for VLSI …

Boolean Reasoning And Informed Search In The Minimization Of Logic Circuits, James J. Kainec

Theses and Dissertations

The minimization of logic circuits has been an important area of research for more than a half century. The approaches taken in this field, however, have for the most part been ad hoc. Boolean techniques have been employed to manipulate formulas, but not to perform symbolic reasoning. Boolean equations are employed principally as icons; they are never solved. The first objective of this dissertation is to apply Boolean reasoning systematically and uniformly to the minimization problem. Boolean reasoning entails the reduction of systems of Boolean equations to a single equation; the single equation is an abstraction, independent of the form …

Ilona: An Advanced Cai Tutorial System For The Fundamentals Of Logic, Otto Mayer, Graham E. Oberem, Fillia Makedon

Computer Science Technical Reports

An advanced tutorial system for teaching the fundamentals of logic has been developed to run on UNIX work stations and commonly available micro-computers. An important part of this tutorial is the intelligent problem solving environment which allows students to practise wiriting logical sentences in mathematical notation. A natural language system for intelligent logic narrative analysis (ILONA) allows students to type in their own logical sentences in plain English and then have the computer check their working when they write these in mathematical form. ILONA is an intelligent tutoring system which allows students a great deal of initiative in problem solving …

An Expert System Job Aid For Users Of The Automated Scheduling Module, Kevin A. Gore

Theses and Dissertations

This research developed an Expert System for novice aircraft maintenance schedulers (AFSC: 392XX) with little experience using the Automated Scheduling Module (ASM). First, an in-depth literature review was completed. Next, personal interviews were conducted with an ASM expert and other 392XX personnel. Prototypes using VP-Expert and KnowledgePro shells were created. The knowledgePro shell was selected to create the ASM Job Aid, combining the knowledge of the expert and AFM 66-279. The program was verified, validated, and favorably reviewed by 392XX personnel. Recommendations include: The Air Force Logistics Management Center (AFLMC) examine the ASM Job AId and develop a Performance Support …

Heuristics For Hospital Inventory Management, Thomas G. Hibson

Theses and Dissertations

This study investigated the reasoning strategies used by hospital logistics management experts and was conducted at the Wright-Patterson AFB (WPAFB) Medical Center. An expert system was developed to verify the captured strategies. The particular area of interest of this study was the reasoning strategies involved in the reconciliation of the Monthly Stock Status Report within the Medical Logistics Branch. A literature review revealed there were few guidelines as to when and what action to pursue when reconciling the Monthly Stock Status Report. Though there were no references in the literature on expert systems that dealt with this particular report, there …

Knowledge-Based Support For Management Of Concurrent, Multidisciplinary Design, Raymond E. Levitt, Yan Jin, Clive L. Dym

All HMC Faculty Publications and Research

Artificial intelligence (AI) applications to design have tended to focus on modeling and automating aspects of single discipline design tasks. Relatively little attention has thus far been devoted to representing the kinds of design 'metaknowledge' needed to manage the important interface issues that arise in concurrent design, that is, multidisciplinary design decision-making. This paper provides a view of the process and management of concurrent design and evaluates the potential of two AI approaches—blackboard architectures and co-operative distributed problem-solving (CDPS)—to model and support the concurrent design of complex artifacts. A discussion of the process of multidisciplinary design highlights elements of both …

Advanced Control Of A Distillation Column Using Artificial Intelligence, David Scott Heisler

Theses and Dissertations

No abstract provided.

Ms. Pacrat: A Feeling, Thinking Machine, Lorraine D'Ortona

Theses

Since before the time of the first digital computers, the workings of the mind have been compared to that of a machine. With the onset of the discipline of Artificial Intelligence a truly organized attempt has been made to build intelligent machines that model the mind. Many interesting programs have been built, but the legitimacy of their success is a matter of great controversy. None of the AI programs developed so far have come close to the true power and intelligence of the brain. Expert systems, for example, are the most success ful commercial AI programs, and even they have …

Characterization Of Multilayer Perceptrons And Their Application To Multisensor Automatic Target Detection, Dennis W. Ruck

Theses and Dissertations

The multilayer perceptron was extensively analyzed. A technique for analyzing the multilayer perceptron, the saliency measure, was developed which provides a measure of the importance of inputs. The method was compared to the conventional statistical technique of best features and shown to provide similar rankings of the input. Using the saliency measure, it is shown that the multilayer perceptron effectively ignores useless inputs and that whether it is trained using backpropagation or extended Kalman filtering, the weighting of the inputs is the same. The backpropagation training algorithm is shown to be a degenerate version of the extended Kalman filter. The …

A Philosophical Critique Of Artificial Intelligence, David Miller

Mahurin Honors College Capstone Experience/Thesis Projects

The term "Artificial Intelligence" creates fantastic images of robots and omniscient machines. Of all the technological pursuits, Artificial Intelligence best epitomizes man's thirst for technology. The science of making machines think stands at the apex of man's mission, reflecting not only his desire for control over his world but also his quest to control himself. To create a machine capable of thought -- rational life -- would mean that man would have achieved a dream as old as technology itself.

Learning Algorithms For Artificial Neural Networks: A Closer Look At Back Propagation, Simplex And Monte Carlo, Sergio Alberto Cedeño

Graduate Theses and Dissertations

No abstract provided.

Below Average Mathematics Student Improvement Program And The Classroom Of The Future, Julia A. Medin

Institute for Simulation and Training

Contains a set of viewgraphs for a presentation on how artificial intelligence and other teaching aids can improve the quality of mathematics education.

Development Of A Knowledge-Based System For Human Error Analysis, Bang-Chiang Sung

Theses

Human Factors is one of several essential issues in a discussion of system productivity. Its consideration must be included in the design, development, operation, and maintenance of any human-machine system. In order to maximize the system productivity, humans must perform with their maximum possible efficiency. To achieve this, all human-related activities must be evaluated to determine their possible causes of errors and the consequences. Then, if unable to completely remove, the causes of human errors must be minimized.

This thesis integrates a knowledge of expert system into an analysis of human errors. Its objective is to develop a knowledge-based system …

Microcomputer Graphic Intelligence, Thomas Tillman Shaffner

Theses

None provided.

On A Class Of Stochastic Approximation -Type Parameter-Learning Algorithms For Pattern Recognition., Amita Pal Dr.

Doctoral Theses

The first tank can involve one or more subtasks. For instance, it may require the design of a classifier on the basis of whatever prior knowledge there is of the feature space, or given the design, to estimate efficiently the parameters of the classifier. The latter might involve the estimation of the density function itself if very little is known about the class-conditional fenture distribution, or it may necessitate the entimation of the parameters of the fenture distribution, if one can assume it to have some known form. It may also involve estimating the boundaries of the classes, if even …

Taylor University Magazine (Winter 1988), Taylor University

The Taylor Magazine (1963-Present)

The Winter 1988 edition of Taylor Magazine, published by Taylor University in Upland, Indiana.

The cover is misprinted as "1987".

An Artificial Intelligence Course In A Liberal Arts Program, John F. Dooley

Faculty Scholarship

This paper describes the design and implementation of an undergraduate course in Artificial Intelligence (AI) within a liberal arts college curriculum. The course aims to introduce students to both the theoretical foundations and practical applications of AI while aligning with the ACM Curriculum ’78 guidelines. It emphasizes an interdisciplinary approach that integrates computer science concepts with broader ethical and societal considerations relevant to AI’s impact on human life.

The course content includes foundational topics such as problem solving, search strategies, knowledge representation, inference, and heuristic programming. Lisp is employed as the primary programming language to facilitate symbolic computation and the …

The Relationship Between Computer Interaction And Individual User Characteristics, Kathleen Lambert

Theses

Development of effective human computer interaction is being approached independently by two disciplines -- user interface design and computer aided instruction. The lack of communication between the two fields has left each separately pursuing different paths toward the same goals. This thesis attempts to bridge the gap between these two disciplines. An exploratory study was conducted to analyze whether user choices in a computer aided instruction environment and personality types as defined by the Myers-Briggs type indicator are related strongly enough to provide the basis for future user models. The results demonstrated that no single instructional strategy was preferred, implying …

Psyxpert: An Expert System For Aiding Psychiatrists In The Diagnosis Of Psychotic Disorders, Mary A. Overby

Theses

Psyxpert is an expert computer system designed to aid psychiatrists in the diagnosis of mental disorders when psychotic features are the prominent part of the presenting clinical picture. The knowledge base contains psychiatric knowledge in the form of production rules. The system uses a backward-chaining control strategy to guide the consultation. Psyxpert provides a menu-driven user interface and an explanation subsystem. The system uses certainty and importance measures to produce a diagnosis with an attached certainty factor and recommendations for further evaluation or therapy. Psyxpert is written in Virginia Tech HC Prolog and runs on Digital Equipment Corporation's VAX 11/780 …

Applications Of Artificial Intelligence In Military Training Simulation, Igor V. Golovcsenko

Retrospective Theses and Dissertations

This report is a survey of Artificial Intelligence (AI) technology contributions to military training. It provides an overview of military training simulation and a review of instructional problems and challenges which can be addressed by AI. The survey includes current as well as potential applications of AI, with particular emphasis on design and system integration issues. Applications include knowledge and skills training in strategic planning and decision making, tactical warfare operations, electronics maintenance and repair, as well as computer-aided design of training systems. The report describes research contributions in the application of AI technology to the training world, and it …