This paper introduces a general framework for dealing with dynamic inconsistency in the context of Markov decision problems. It carefully decouples and examines concepts that are often entwined in the literature: it distinguishes between the decision maker and its various temporal agents, and between the beliefs and intentions of the agents. Classical examples of naiveté and sophistication are ...

This paper proposes a kind of bi-level linear programming problem, in which there are two decision makers in a hierarchy and they have a common variable. To deal with this bi-level problem, we introduce a virtual decision maker, who controls the common variable to maximize the sum of the objective functions of the upper and lower level decision maker (the leader and follower). To illustrate the...

In interactive programming, a choice behaviour of the decision maker may differ depending on a proximity of current solution to satisfactory values of the objectives. An interactive approach proposed in this paper allows the decision maker to use different search principles depending on his/her perception of the achieved values of the objectives and trade-offs. While an analysis of values of th...

The decision-making process of the individual is analogous to collapse a quantum system at moment measurement, whereby we mean decision-maker, his mental processes and environmental context that influences him in choices. Classical probability depends on lack information, instead intrinsic be studied, meaning system, consisting decision-maker context, superposition states, each with its own amp...

A perfectly rational decision-maker chooses the best action with the highest utility gain from a set of possible actions. The optimality principles that describe such decision processes do not take into account the computational costs of finding the optimal action. Bounded rational decision-making addresses this problem by specifically trading off information-processing costs and expected utili...

In research situations usually approached by Decision Theory, it is only considered one researcher who collects a sample and makes a decision based on it. It can be shown that randomization of the sample does not improve the utility of the obtained results. Nevertheless, we present situations in which this approach is not satisfactory. First, we present a case in which randomization can be an i...