- We will send in 10–14 business days.
/images/books/2983804/9780262528153.jpg)
- Author: Kenneth D Forbus
- Publisher: MIT Press
- ISBN-10: 0262528150
- ISBN-13: 9780262528153
- Format: 20.3 x 25.4 x 3.7 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
For nearly two decades, Kenneth Forbus and Johan de Kleer have accumulated a substantial body of knowledge about the principles and practice of creating problem solvers. In some cases they are the inventors of the ideas or techniques described, and in others, participants in their development.
Building Problem Solvers communicates this knowledge in a focused, cohesive manner. It is unique among standard artificial intelligence texts in combining science and engineering, theory and craft to describe the construction of AI reasoning systems, and it includes code illustrating the ideas.
After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems. The diligent reader will have worked through several substantial examples, including systems that perform symbolic algebra, natural deduction, resolution, qualitative reasoning, planning, diagnosis, scene analysis, and temporal reasoning.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 17d.18:28:41
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Kenneth D Forbus
- Publisher: MIT Press
- ISBN-10: 0262528150
- ISBN-13: 9780262528153
- Format: 20.3 x 25.4 x 3.7 cm, softcover
- Language: English English
For nearly two decades, Kenneth Forbus and Johan de Kleer have accumulated a substantial body of knowledge about the principles and practice of creating problem solvers. In some cases they are the inventors of the ideas or techniques described, and in others, participants in their development.
Building Problem Solvers communicates this knowledge in a focused, cohesive manner. It is unique among standard artificial intelligence texts in combining science and engineering, theory and craft to describe the construction of AI reasoning systems, and it includes code illustrating the ideas.
After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems. The diligent reader will have worked through several substantial examples, including systems that perform symbolic algebra, natural deduction, resolution, qualitative reasoning, planning, diagnosis, scene analysis, and temporal reasoning.
Reviews