
Information Science Reference
Decision Theory Models for Applications in Artificial Intelligence (English, L. Enrique Sucar | Eduardo F. Morales | Jesse Hoey)
by L. Enrique Sucar | Eduardo F. Morales | Jesse Hoey
Publisher: Information Science Reference
Language: English
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Specifications
| Publisher | Information Science Reference |
| Language | English |
| ISBN-13 | 9781609601652 |
| ISBN-10 | 1609601653 |
| Author | L. Enrique Sucar | Eduardo F. Morales | Jesse Hoey |
Product Description
About the Book
One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types of decision theory techniques, including MDPs,…
ISBN: 9781609601652
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Decision Theory Models for Applications in Artificial Intelligence
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Information Science Reference
Who Should Read This
Science students, researchers, and curious minds of all ages.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Decision Theory Models for Applications in Artificial Intelligence is authored by L. Enrique Sucar | Eduardo F. Morales | Jesse Hoey.
Who published Decision Theory Models for Applications in Artificial Intelligence?
Decision Theory Models for Applications in Artificial Intelligence is published by Information Science Reference.
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At an average reading speed of 250 words per minute, reading Decision Theory Models for Applications in Artificial Intelligence takes a few hours to a few days depending on reading pace.
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About the Book
One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theor...
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