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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Knowledge Engineering Tools and Techniques for AI Planning

Knowledge Engineering Tools and Techniques for AI Planning

Kitchin, Diane
Vallati, Mauro

Hardcover

Business GeneralDatabasesGeneral Computers

ISBN10: 3030385604
ISBN13: 9783030385606
Publisher: Springer Nature
Published: Mar 26 2020
Pages: 277
Weight: 1.28
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate.
AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge.

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