- We will send in 10–14 business days.
/images/books/7513806/9781289158941.jpg)
- Author: David E Smith
- Publisher: Bibliogov
- ISBN-10: 1289158940
- ISBN-13: 9781289158941
- Format: 18.9 x 24.6 x 0.2 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
Planning research in Artificial Intelligence (AI) has often focused on problems where there are cascading levels of action choice and complex interactions between actions. In contrast. Scheduling research has focused on much larger problems where there is little action choice, but the resulting ordering problem is hard. In this paper, we give an overview of M planning and scheduling techniques, focusing on their similarities, differences, and limitations. We also argue that many difficult practical problems lie somewhere between planning and scheduling, and that neither area has the right set of tools for solving these vexing problems.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.06:46:50
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: David E Smith
- Publisher: Bibliogov
- ISBN-10: 1289158940
- ISBN-13: 9781289158941
- Format: 18.9 x 24.6 x 0.2 cm, minkšti viršeliai
- Language: English English
Planning research in Artificial Intelligence (AI) has often focused on problems where there are cascading levels of action choice and complex interactions between actions. In contrast. Scheduling research has focused on much larger problems where there is little action choice, but the resulting ordering problem is hard. In this paper, we give an overview of M planning and scheduling techniques, focusing on their similarities, differences, and limitations. We also argue that many difficult practical problems lie somewhere between planning and scheduling, and that neither area has the right set of tools for solving these vexing problems.
Reviews