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

Partridge, Derek

Rilegato

ISBN 10: 1888998369 ISBN 13: 9781888998368

Casa editrice: CRC Press, 2000

Riassunto

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.

Su questo libro

Contenuti

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

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Dettagli dell?edizione

• Editore: CRC Press
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 1888998369
• ISBN 13: 9781888998368
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 274
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile