Notes mainly for the use of CMC, Christopher A. Fuchs, and Rüdiger Schack, although anyone is welcome to make use of the notes and even buy in, in whole or in part, if he/she finds the notes convincing. Not everything here is endorsed by Fuchs and Schack, but it is all part of a joint program aimed at producing a Bayesian synthesis. Fuchs, in particular, probably disagrees with every statement ...

This thesis is about how Bayesian methods can be applied to explicitly model and efficiently reason about uncertainty to make optimal recommendations. We are interested in three dimensions of recommender systems: (1) preference elicitation, (2) set-based recommendations, and (3) matchmaking. The first dimension concerns how one can minimize the elicitation efforts in learning a user’s utility f...

Constraint-based optimization requires the formulation of a precise objective function. However, in many circumstances, the objective is to maximize the utility of a specific user among the space of feasible configurations (e.g., of some system or product). Since elicitation of utility functions is known to be difficult, we consider the problem of incremental utility elicitation in constraintba...

We discuss Bayesian approaches to multiple comparison problems, using a decision theoretic perspective to critically compare competing approaches. We set up decision problems that lead to the use of FDR-based rules and generalizations. Alternative definitions of the probability model and the utility function lead to different rules and problem-specific adjustments. Using a loss function that co...

This paper deals with preference elicitation and preference-based optimization in the context of multiattribute utility theory under certainty. We focus on the generalized additive decomposable utility model which allows interactions between attributes while preserving some decomposability. We first present a systematic elicitation procedure for such utility functions. This procedure relies on ...

A program for optimizing and analyzing sequential allocation problems involving three Bernoulli populations and a general objective function is described. Previous researchers had considered this problem computationally intractable, and there appears to be no prior exact optimizations for such problems, even for very small sample sizes. This paper contains a description of the program, along wi...

In applied game theory the motivation of players is a key element. It is encoded in the payoffs of the game form and often based on utility functions. But there are cases were formal descriptions in the form of a utility function do not exist. In this paper we introduce a representation of games where players’ goals are modeled based on so-called higher-order functions. Our representation provi...

The design of robotic systems that are capable of sophisticated social behavior such as cooperation, compromise, negotiation, and altruism, requires more complex mathematical models than are afforded by the classical mechanisms for making value judgments and decisions. A new concept of multi-agent satisficing, defined in terms of relative effectiveness and efficiency, is an alternative to class...

objective: the present study has been carried out to develop social cognition interventional program (scip) based on theory of mind (tom), and to investigate its effects on high-functional autistic (hfa) children's social function. methods: present study was completely experimental and its participants were randomly assigned to an experimental or a control group (among 14 hfa, 7 in experim...