We propose the Probabilistic Sentential Decision Diagram (PSDD): A complete and canonical representation of probability distributions defined over the models of a given propositional theory. Each parameter of a PSDD can be viewed as the (conditional) probability of making a decision in a corresponding Sentential Decision Diagram (SDD). The SDD itself is a recently proposed complete and canonica...

Interaction between decision makers may affect their preferences. We consider a setup in which each individual is characterized by two sets of preferences: his unchanged core preferences and his behavioral preferences. Each individual has a social influence function that determines his behavioral preferences given his core preferences and the behavioral preferences of other individuals in his g...

An artificial superintelligence (ASI) is artificial intelligence that is significantly more intelligent than humans in all respects. While ASI does not currently exist, some scholars propose that it could be created sometime in the future, and furthermore that its creation could cause a severe global catastrophe, possibly even resulting in human extinction. Given the high stakes, it is importan...

Influence Diagrams ( I D S ) are a graphic formal ism able to provide a compact representation of decision problems. IDs are based on the axioms of probabi l i ty and decision theory, and they define a normat ive framework to model decision mak ing . Unfor tunate ly , IDs require a large amount of in fo rmat ion that is not always available to the decision maker. Th is paper in troduces a new c...

The article examines the influence of a child on the buying behavior of parents in the Czech Republic. Previous studies claim that Czech consumers are only slightly influenced by the marketing tool of the product package when purchasing food. Whereas children are increasingly becoming influencers of consumption, the question arises, whether or not the parent succumbs to their requesting through...

This research examines the effects of GSS and task type on informational and normative influence in small groups by analyzing group process. It extends Kaplan and Miller' s research on task type and informational and normative influence in small groups in an unsupported setting to a GSS setting. The two tasks used are an intellective task and a preference task, and the two support levels are un...

Many Artificial Intelligence systems depend on the agent's updating its beliefs about the world on the basis of experience. Experiments constitute one type of experience, so scientific methodology offers a natural environment for examining the issues attendant to using this class of evidence. This paper presents a framework which structures the process of using scientific data from research rep...

Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the combination of weak classifiers. Therefore, it is possible to use boosting methods with very simple base classifiers. One of the most simple classifiers are decision stumps, decision trees with only one decision node. This...

Explanation of reasoning in expert systems is necessary for debugging the knowledge base, for facilitating their acceptance by human users, and for using them as tutoring systems. Influence diagrams have proved to be effective tools for building decision-support systems, but explanation of their reasoning is difficult, because inference in probabilistic graphical models seems to have little rel...