This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making. Soft Computing is a new multidisciplinary field, to construct new generation of Artificial Intelligence, known as Computational Intelligence.
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Type of Material:
Open (Access) Textbook
Recommended Uses:
Individual, self-paced
Technical Requirements:
Web browser and PDF reader.
Identify Major Learning Goals:
This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making.
Target Student Population:
Upper-level university.
Prerequisite Knowledge or Skills:
Significant mathematical and computer science background required.
Content Quality
Rating:
Strengths:
Introductory course to soft computing with summary of the different techniques. The content is well researched and has good references for a deeper study. Provides detailed examples.
Concerns:
Narrow target population. The material has publicity and advertising embedded.
Potential Effectiveness as a Teaching Tool
Rating:
Strengths:
This material is only suitable as reference material, thus it should be used as complement of class activities.
Concerns:
Difficult reading; lacks breadth. Text is fairly difficult to read.
Ease of Use for Both Students and Faculty
Rating:
Strengths:
Digital book, easy to use for anyone with basic computer skills. Addresses those with specific interest.
Concerns:
Not easily digested. To get the book is necessary to register, enter e-mail address, answer a few questions, then download book as PDF.
Other Issues and Comments:
In-book advertising was distracting and was too easily unintentionally "clicked".
Creative Commons:
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