We examine the implications of decision theory for religious choice and evangelism, under the assumption that people choose their religion. The application of decision theory leads us to a broad definition of religion and a particular definition of faith, each related to the uncertainty associated with what happens to a person after death. We examine two extremes: total ambiguity and no ambigui...

In this paper I argue that the ‘ambiguity’ between mention-all and mentionsome readings of questions can be resolved when we relate it to the decision problem of the questioner. By relating questions to decision problems, I (i) show how we can measure the utilities of both mention-all and mention-some readings of questions, and (ii) give a natural explanation under which circumstances the menti...

Thank you for submitting your manuscript for consideration by the EMBO Journal. I apologise that it has taken a little longer than usual to have your manuscript reviewed, three referees have evaluated your manuscript and I enclose their reports below, but as you will see the decision was not a straightforward one and I asked other people for their input. The decision unfortunately is not a posi...

People are interested in developing a machine learning algorithm that works well in all situations. I proposed and studied a machine learning algorithm that combines two widely used algorithms: decision trees and instance-based learning. I combine these algorithms by using the decision trees to determine the relevant attributes and then running the noise-resistant instancebased learning algorit...

Decision making in an uncertain environment is a complex task for decision makers. Fuzzy multi criteria decision making methods are proposed in the literature where the subjective criteria and the weights of all criteria are assessed in linguistic variables since conventional methods cannot take into consideration the subjectivity and uncertainty in the decision process. Fuzzy ELECTRE I (Elimin...

I propose to investigate the computable foundations of decision making along the lines of Classical Behavioural Economics. First, decision makers will be represented as Information Processing Systems underpinned by bounded rationality and satisficing as in the theory of Human Problem Solving proposed by Herbert Simon. The game of Go, which has a finite and large search space, provides a rich pa...

The Random Forest Classi f icat ion Algorithm is a popular Ensemble learning algori thm which deals wi th c lass i f ica tion of da ta with given set of a t t ribu tes on the basis of majori ty vo tes f rom various decision trees o f that fores t (Bre iman,Cut ler,2004). Classi f ica tion on the basis of majori ty votes by the decision t rees i s not be best way to pred ict c lass i f ica tion ...

Competent decision-making is required for informed consent. In this paper, I aim, from a phenomenological perspective, to identify the specific facets of competent decision-making that may form a challenge to depressed patients. On a phenomenological account, mood and emotions are crucial to the way in which human beings encounter the world. More precisely, mood is intimately related to the opt...

A Two-phase model for configuring a cellular manufacturing system is proposed. In phase (I), for the first time, number of cells is considered as a decision variable. In phase (II), pursing two different objectives, one minimization of underload and the other, maximization of similarity of parts within a group, the design procedure is performed. As one cannot have these two objects together, a ...