“Game Theory and Competitive Analyse” for Developing the Turistic Priorities in Albanian Region. The Case Study of Vlora Coast.

Abstract

In this article, consider optimal decision making in two-alternative forced-choice. The paper research consist by
analyzing the mathematical models of TAFC decision making and show that all but one can be reduced to the drift diffusion
model, implementing the statistically optimal algorithm (most accurate for a given speed or fastest for a given accuracy). The
paper research prove further that there is always an optimal trade-off between speed and accuracy that maximizes various
reward functions, including reward rate (percentage of correct responses per unit time), as well as several other objective
functions, including ones weighted for accuracy. These findings address empirical data and make novel predictions about
performance under optimality. This literature review of decision making (how people make choices among desirable
alternatives), culled from the disciplines of psychology, economics, and mathematics, covers the theory of riskless choices, the
application of the theory of riskless choices to welfare economics, the theory of risky choices, transitivity of choices, and the
theory of games and statistical decision functions. [1] [2] [3] In this paper we are trying to adopt the concrete data of ITC in Vlora
region for touristic promoting. The theories surveyed assume rational behavior: individuals have transitive preferences. There
are two points of hypothesis in this study: 1.The GTCA (Game theory and competitive analyse) theory and it apply in Albanian
condition for promoting the tourism.2. MMDM (Mathematics Models and Decision Making) theory and apply in developing the
conditions for promoting the reforming in Albania. Game theory, a discipline that was given its modern form by the
mathematician John von Neumann, models markets in which the actions of competing parties influence one another while each
acts in its own self interest.