Produktdetaljer
Biografisk notat
Malik Ghallab is Directeur de Recherche Emeritus at CNRS and the University of Toulouse. He has (co-)authored more than 200 scientific publications and books on AI and robotics, especially on acting, planning, and learning. He is a EurAI Fellow, and Docteur Honoris Causa of Linköping University, Sweden. Dana Nau is Professor Emeritus at the University of Maryland in the Computer Science Department and the Institute for Systems Research. He has more than 400 refereed scientific publications, primarily on AI, game theory, and several interdisciplinary topics. He is an AAAI Fellow, ACM Fellow, and AAAS Fellow. Paolo Traverso is Director of Strategic Planning at Fondazione Bruno Kessler (FBK), Trento, Italy. His main research interests are in automated planning and learning under uncertainty. He is the author and co-author of more than 100 scientific articles. He is a EurAI Fellow, AAIA Fellow, and AIIA Fellow. Michela Milano, the author of the Foreword, is Professor at Università degli Studi, Bologna, Italy.'Every serious student of AI will benefit from reading this comprehensive text on some of the most important problems and methods underlying intelligent behavior, written by three world-leading experts.' Stuart Russell, University of California, Berkeley
'The book provides a comprehensive, advanced, and up-to-date introduction to the area of intelligent behaviour in AI concerned with acting, planning, and learning. It is also an original and ambitious work of synthesis that integrates classical and hierarchical planning, reinforcement learning, and robotics. An essential textbook and a key reference for anyone working in the field.' Hector Geffner, RWTH Aachen University, Germany
'After focusing on automated planning in their first book and its integration with acting in the second book, Malik Ghallab, Dana Nau, and Paolo Traverso close the loop by adding the last missing component, learning. With more than 600 pages of text and more than 1200 references, this massive effort is a must-read for anyone who builds autonomous agents that plan their actions and improve their behavior via learning. It is not only an excellent textbook, but it also serves as a reference book for researchers.' Roman Barták, Charles University, Czech Republic