Practice workbook: Artificial intelligence and soft computing for beginners By Anindita Das Bhattacharjee

By:

Bhattacharjee, Anindita Das

Material type: Text

TextPublication details: Mumbai: Shroff publishers and distributors, c2018.Edition: 1Description: 190PISBN:

9789352137602

Subject(s):

Artificial intelligence. Soft computing

DDC classification:

006.3 BHA-P

Contents:

Chaper 1:INTRODUCTION TO AI 1: AGENT 3: lOGIC 4: EXPERT SYSTEM & PRODUCTION SYSTEM 5: FUZZY LOGIC 6: KNOWLEDGE REPRESENTATION 7: REASONING AND KNOWLEDGE REPRESENTATION 8: UNCERTAINTIES AND INCONSISTENCIES WITH PROBABILISTIC REASONING 9: SEARCH TECHNIQUES & ADVERSARIAL SEARCH TECHNIQUES 10: ADVERSARIAL SEARCH TECHNIQUES 11: NATURAL LANGUAGE PROCESSING 12: CONSTRAINTS SATISFACTION PROBLEMS 13: SINGLE AND MULTI-OBJECTIVE GENETIC ALGORITHM 14: ARTIFICIAL NEURAL NETWORK 15: PROLOG 16: PLANNING

Summary: Artificial intelligence impacts the society with its diversified application in different domains, such as market segments like stock market, manufacturing or in Research and Development. Artificial intelligence now a days extends its frontier in technology and knowledge. This workbook is made in order to design guidance towards building practical applications and solving them efficiently to achieve an enhanced logical as well as decision making ability in the field of AI. Artificial intelligence covers tasks associated with human intelligence, speech recognition, decision making, visual perception and natural language processing. This book includes each and every segment with appropriate analysis and solution procedure. It covers solution of algorithms, to understand searching techniques to develop appropriate machine learning tool. It also covers, fuzzy logic with brief overview along with solution and Planning and constraint satisfaction problems with explanations. Now a days applicability of AI is extended towards predictive analysis. Hence designing methods of an efficient optimization and prediction tool are provided; which includes Genetic algorithms and artificial neural networks. To understand the chapters in details, related multiple choice questions with most suitable answers are included, in order to make beneficial learning outcome.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	006.3 BHA-P (Browse shelf(Opens below))	Available		DCB3986

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Previous			No cover image available No cover image available		No cover image available No cover image available			Next
Previous	006.3 BHA-A Artificial intelligence and soft computing for beginners	006.3 BHA-D Data mining and data warehousing: Principles and practical techniques	006.3 BHA-F Fundamental Concept of Artificial Intelligence with Applications	006.3 BHA-P Practice workbook: Artificial intelligence and soft computing for beginners	006.3 BUC-A Advances in Soft Computing: An Introduction to Fuzzy Logic and Fuzzy Sets	006.3 CAW-E The Essence Of Artificial Intelligence	006.3 CHI-A The AI does not hate you : the Rationalists and the race to save the world	Next

Covers natural language processing and genetic algorithms

Chaper 1:INTRODUCTION TO AI
1: AGENT
3: lOGIC
4: EXPERT SYSTEM & PRODUCTION SYSTEM
5: FUZZY LOGIC
6: KNOWLEDGE REPRESENTATION
7: REASONING AND KNOWLEDGE REPRESENTATION
8: UNCERTAINTIES AND INCONSISTENCIES WITH PROBABILISTIC REASONING
9: SEARCH TECHNIQUES & ADVERSARIAL SEARCH TECHNIQUES
10: ADVERSARIAL SEARCH TECHNIQUES
11: NATURAL LANGUAGE PROCESSING
12: CONSTRAINTS SATISFACTION PROBLEMS
13: SINGLE AND MULTI-OBJECTIVE GENETIC ALGORITHM
14: ARTIFICIAL NEURAL NETWORK
15: PROLOG
16: PLANNING

Artificial intelligence impacts the society with its diversified application in different domains, such as market segments like stock market, manufacturing or in Research and Development. Artificial intelligence now a days extends its frontier in technology and knowledge.

This workbook is made in order to design guidance towards building practical applications and solving them efficiently to achieve an enhanced logical as well as decision making ability in the field of AI. Artificial intelligence covers tasks associated with human intelligence, speech recognition, decision making, visual perception and natural language processing.

This book includes each and every segment with appropriate analysis and solution procedure. It covers solution of algorithms, to understand searching techniques to develop appropriate machine learning tool. It also covers, fuzzy logic with brief overview along with solution and Planning and constraint satisfaction problems with explanations.

Now a days applicability of AI is extended towards predictive analysis. Hence designing methods of an efficient optimization and prediction tool are provided; which includes Genetic algorithms and artificial neural networks. To understand the chapters in details, related multiple choice questions with most suitable answers are included, in order to make beneficial learning outcome.

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