Representing And Reasoning With Qualitative Preferences: Tools And Aplications Ram Santhanam, Ganesh / Basu, Samik / Honovar, Vasasnt Morgan & Claypool Publishers |
Statistical Relational Artificial Intelligence: Logic, Probability, And Computat De Raedt, Luc / Kersting, Kristian / Natarajan, Sriraam / Po Morgan & Claypool Publishers |
Genetics Algorithms In Search Optimization & Machine Learning Goldberg David E Pearson/Addison Wesley |
Título: Introduction To Artificial Intelligence | ||
Autor: Ertel, Wolfgang | Precio: $640.00 | |
Editorial: Springer-Verlag London Limited | Año: 2011 | |
Tema: Inteligencia Artificial | Edición: 1ª | |
Sinopsis | ISBN: 9780857292988 | |
The ultimate aim of artificial intelligence (A.I.) is to understand intelligence and to build intelligent software and robots that come close to the performance of humans. On their way towards this goal, A.I. researchers have developed a number of quite different subdisciplines.
This concise and accessible Introduction to Artificial Intelligence supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The textbook presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. |