Stefan Edelkamp is senior researcher and lecturer at University Bremen, where he heads projects on intrusion detection, on model checking and on planning for general game playing. He received an M.S. degree from the University Dortmund for his Master’s thesis on "Weak Heapsort", and a Ph.d. degree from the University of Freiburg for his dissertation on "Data Structures and Learning Algorithms in State Space Search". Later on, he obtained a postdoctoral lecture qualification (Venia Legendi) for his habilitation on "Heuristic Search". His planning systems won various first and second performance awards at International Planning Competitions. Stefan Edelkamp has published extensively on search, serves as member on program committees (including recent editions of SARA, SOCS, ICAPS, ECAI, IJCAI, and AAAI) and on steering committees (including SPIN and MOCHART). He is member of the editorial board of JAIR and organizes international workshops, tutorials, and seminars in his area of expertise. In 2011 he will co-chair the ICAPS Conference as well as the German Conference on AI.
Télécharger le livre :  Algorithmic Intelligence

In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical computer science and machine learning via...
Editeur : Springer
Parution : 2023-05-30
Collection : Artificial Intelligence: Foundations, Theory, and Algorithms
Format(s) : PDF
232,09

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Télécharger le livre :  Heuristic Search

Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and...
Editeur : Morgan Kaufmann
Parution : 2011-05-31

Format(s) : epub sans DRM
59,03

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