Modeling Decisions for Artificial Intelligence: 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015, Proceedings (Lecture Notes in Computer Science Book 9321)

This book constitutes the proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, held in Skövde, Sweden, in September 2015. The 18 revised full papers presented were carefully reviewed and selected from 38 submissions. They discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques. Preface 6 Organization 7 Abstracts of Invited Talks 10 Modeling the Complex Search Space of DataPrivacy Problems 11 Classifying Large Graphswith Differential Privacy 14 Statistical Forecasting Using Belief Functions 15 Preference Learning: Machine Learning MeetsPreference Modeling 17 Game-Theoretic Approaches to DecisionMaking in Cyber-Physical Systems Security(Extended Abstract) 19 Contents 23 Invited Paper 25 Classifying Large Graphs with Differential Privacy 26 1 Introduction 26 2 Background 27 2.1 Graph Kernels 27 2.2 Differential Privacy and Graphs 29 3 Private Kernels for Large Graphs 30 3.1 Private Graphlet Kernels 31 3.2 Private p-random Walk Kernels 32 4 Scaling Private Graphlet Kernels 33 4.1 Differential Privacy with Sampling 34 5 Experiments 35 5.1 Datasets 35 5.2 Experimental Setup 36 5.3 Classification Results 36 5.4 Sampling the Private Graphlet Kernel 37 6 Related Work 38 7 Conclusions 38 References 38 Aggregation Operators and Decision Making 41 Extremal Completions of Triangular Norms Known on a Subregion of the Unit Interval 42 1 Introduction 42 2 Basic Notions and Results 43 3 Extremal Extensions of t-norms Without a Non-trivial Idempotent Element in [a,b] 44 3.1 Case When a=b 44 3.2 Case when a=0 45 3.3 Case When b=1 46 3.4 Case When 0