| Main centres: | 1-3 business days |
| Regional areas: | 3-4 business days |
| Remote areas: | 3-5 business days |
| Details | |
| Series: | Prentice Hall Series in Artificial Intelligence |
| Size | |
| Length: | 932 pages |
| Height: | 9.5 in. |
| Width: | 8 in. |
| Thickness: | 1.8 in. |
| Weight: | 58.4 oz. |
| Publisher's Note | |
| Integrates state-of-the-art AI techniques into intelligent agent designs, using examples and exercises to lead the reader from simple reactive agents to full knowledge-based agents with natural language capabilities. Covers areas that are sometimes under-emphasized--reasoning under uncertainty, learning, natural language, vision and robotics--and explains in detail some of the more recent ideas in the field e.g., simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural nets, inductive logic, programming, computational learning theory, and reinforcement learning. This highly accessible and well-written, state-of-the-art professional reference is for programmers, software engineers, system administrators, or technical managers who want to learn about or use A.I. techniques and software solutions. | |
| Industry reviews | |
| a text primarily intended for use in an undergraduate course or course sequence. It shows how intelligent agents can be built using AI methods and explains how different agent designs are appropriate depending on the nature of the task and environment. It uses examples and exercises to lead students from simple reactive agents to advanced planning agents with natural language capabilities. Annotation copyright Book News, Inc. Portland, Or. Leffler | |
Free Shipping - Expedited Shipping - 7-10 working days
