DECISION CONCEPTS

Decision Diagrams – Concepts and Applications

The fifth workshop Decision Diagrams – Concepts and Applications in the series Computer Aided Design and Test at the IBFI Schloß Dagstuhl was organized by Bernd Becker (Univ. Freiburg), Christoph Meinel (Univ. Trier), Shin-Ichi Minato (NTT Optical Network, Japan), and Fabio Somenzi (Univ. of Colorado). It was attended by 31 scientists. Decision Diagrams (DDs) have found widespread use in comput...

Decision Support Concepts for Sustainable Development

The transformation of the planet over the past century due to intense human activity has affected ecosystems more rapidly and decisively than any other comparable period of recorded history. As a result, the sustainable use of natural resources is presently much more than a simple necessity; current international research focuses heavily on topics like sustainable development, regional planning...

Markov Decision Processes: Concepts and Algorithms

Situated in between supervised learning and unsupervised learning, the paradigm of reinforcement learning deals with learning in sequential decision making problems in which there is limited feedback. This text introduces the intuitions and concepts behind Markov decision processes and two classes of algorithms for computing optimal behaviors: reinforcement learning and dynamic programming. Fir...

Statistical Decision Theory: Concepts, Methods and Applications

Learning Relational Concepts with Decision Trees

In this paper, we describe two diierent learning tasks for relational structures. When learning a classiier for structures, the rela-tional structures in the training sets are clas-siied as a whole. Contrarily, when learning a context dependent classiier for elementary objects, the elementary objects of the rela-tional structures in the training set are clas-siied. In general, the class of an e...