Artificial Intelligence and Software EngineeringUnderstanding the Promise of the Future
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Artificial Intelligence and Software EngineeringUnderstanding the Promise of the Future

Artificial Intelligence and Software EngineeringUnderstanding the Promise of the Future


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About the Book

Artificial intelligence has tremendous potential for computer users; even so, misunderstandings have arisen about the true capabilities of artificial intelligence. Managers, business owners, software developers and the computer literate can find a realistic view of artificial intelligence in these pages. Partridge explains what it can-and cannot-do, especially as it applies to applications for banking, financial services, and expert systems. Artificial Intelligence and Software Engineering: Understanding the Promise of the Future is written at the level of the computer literate person who wants to find out about the reality of exploiting the promise of artificial intelligence in practical, maintainable software systems. It cuts through the hype and presents the realities, both the opportunities and the problems, the current state of the art, and future directions.

Table of Contents:
Introduction to Computer Software Computers and Software Systems An Introduction to Software Engineering Bridges to Buildings Versus Software Systems The Software Crisis A Demand for More Software Power Responsiveness to Human Users Sorftware in New Types of Domains Responsiveness to Dynamic Usage Environments Software Systems With Self-Maintenance Capabilities A Need for AI Systems AI Problems and Conventional SE Problems What is an AI Problem Ill-Defined Specifications Correct Versus "Good Enough" Solutions It's the HOW not the WHAT The Problem of Dynamics The Quality of Modular Approximations Context-Free Problems Software Engineering Methodology Specify and Verify - the SAV Methodology The Myth of Complete Specification What is Verifiable? Specify and Test - the SAT Methodology Testing for Reliability The Strengths The Weaknesses What are the Requirements for Testing? What's in a Specification? Prototyping as a Link An Incremental and Exploratory Methodology Classical Methodology and AI Problems The RUDE Cycle How do we Start? Malleable Software AI Muscles on a Conventional Skeleton How do we Proceed? How do we Finish? The Question of Hacking Conventional Paradigms New Paradigms for System Engineering Automatic Programming Transformational Implementation The "New Paradigm" of Balzer, Cheatham and Green Operational Requirements of Kowalski The POLITE Methodology Towards a Discipline of Exploratory Programming Reverse Engineering Reusable Software Design Knowledge Stepwise Abstraction The Problem of Decompiling Controlled Modification Structured Growth Machine Learning: Much Promise, Many Problems Self-Adaptive Software The Promise of Increased Software Power The Threat of Increased Software Problems The State of the Art in Machine Learning Practical Machine Learning Examples Multiversion Inductive Programming Expert Systems: The Success Story Expert Systems as AI Software Engineering Expert Systems The Lessons of Expert Systems for Engineering AI Software AI Into Practical Software Support Environments Reduction of Effective Complexity Moderately Stupid Assistance An Engineering Toolbox Self-Reflective Software Overengineering Software Summary and What the Future Holds References Index ·

About the Author :
Derek Partridge is Professor of Computer Science at the University of Exeter.


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Product Details
  • ISBN-13: 9781888998368
  • Publisher: Glenlake Publishing Co ,U.S.
  • Publisher Imprint: Glenlake Publishing Co ,U.S.
  • Language: English
  • Weight: 585 gr
  • ISBN-10: 1888998369
  • Publisher Date: 01 Jan 2000
  • Binding: Hardback
  • Returnable: N


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