Analysing Israel-Hamas Conflict Based on Game Theory Approach

2021 ◽  
Author(s):  
Abdullah Hamida ◽  
◽  
Yongsheng Jin ◽  
Keyword(s):  
Game Theory ◽  
Gaza Strip ◽  
Theory Approach ◽  
Regional Powers ◽  
Model Based ◽  
Proposed Model ◽  
The Game Theory ◽  
The Common ◽  
Resistance Movement ◽  
Israeli Defence Forces

ABSTRACT The Islamic Resistance Movement (AKA: Hamas) has taken control over Gaza Strip, Palestine, in 2007. Since then, the organization was in a continues hit-run conflict against the Israeli Defence Forces (IDF). The conflict is very resistant to any sort of resolution, and Hamas and Israel engage frequently in what it seems an endless cycle of resentment and violence. Despite numerous mediations by global and regional powers, this conflict appears to be further away than ever. This particular conflict can’t be addressed according to the common negotiation theories that based on rationality and hard politics, which seems not that functional. Instead, a model based on the game theory approach is presented in this study to explain this phenomenon. In this work, some facts about Israel - Hamas regional concerns are explained. Moreover, the study analyses the reasons behind Hamas enforcing calm in Gaza, even though Hamas considers Israel as its arch enemy. The presented model shows that whenever Israel and Hamas reach an agreement, both sides can collaborate in maintaining a state of calm. Moreover, results show that the proposed model is applicable to analyse a conflict in terms of actions, duration and terms of settlement. KEYWORDS: Israel; Israeli-Palestinian conflict; Hamas; Gaza strip; Game theory

Simulation Aided Production Planning and Scheduling Using Game Theory Approach

2015 ◽  
Vol 809-810 ◽  
pp. 1450-1455 ◽  
Author(s):  
Damian Krenczyk ◽  
Malgorzata Olender
Keyword(s):  
Game Theory ◽  
Production Planning ◽  
Production Systems ◽  
Theory Approach ◽  
Planning And Scheduling ◽  
Operational Level ◽  
The Game Theory ◽  
Production Orders ◽  
Alternative Routes ◽  
Optimum Solution

In the paper the concept of using methods and models of the game theory to solve problems in the area of production planning and control is presented. The problems concerning selection of the most favorable routes from given circumstances and for available set of alternative routes in discrete multi-assortment production systems is presented. Considered in this paper the problems related to the allocation of adequate resources to carry out specific production plan of production orders. Combinatorial complexity of those problems is high especially at the operational level. Therefore heuristic or analytical methods are often used in the process of decision support, without indicating the optimum solution. Conducted research in this area are also related to AI methods. The proposed approach in this paper, is based on the game theory in the production planning. The tools of game theory have been used so far mainly in the area of production planning at the levels of strategic and tactical planning. But recently, arises increasingly interest in using game theory in the field of production planning at the operational level. In this case, the player term is replaced with the agent or object term that represents (not the entity or person as it is in the classical approach) production order, production process or package of production orders.

The Game Theory Approach for Solving the Hierarchical and Decentralized Bi-Level Problem

2013 ◽  
Author(s):  
Ehsan Ghotbi ◽  
Anoop K. Dhingra
Keyword(s):  
Game Theory ◽  
Numerical Approach ◽  
Theory Approach ◽  
Objective Functions ◽  
Nash Game ◽  
Multi Objective ◽  
The Game Theory ◽  
Level Problem ◽  
Upper Level ◽  
Rational Reaction Set

This paper presents a game theory approach to solve two types op problem, hierarchical and decentralized bi-level multi-objective problem with multiple objective functions at the upper level and multiple players at the lower level. The sensitivity based approach is applied for numerical approach. A sensitivity based algorithm is proposed to the Hierarchical and decentralized bi-level multi-objective problem. Two scenarios are studied in this paper for modeling the decentralized bi-level multi-objective problem. The first scenario considers the cooperative game as interaction between the players at upper level and the lower level individually. The interaction between the upper and lower level is considered as Stackelberg. On the second scenario, the interaction in the lower level is modeled by Nash game. The sensitivity based method has been used to provide an approximation to the rational reaction set (RRS) for each player. An alternate approach for generating the RRS based on design of experiments (DOE) combined with response surface methodology (RSM) is also explored. Two numerical examples are given to demonstrate the proposed algorithm for the both scenario. It is seen that the proposed sensitivity based approach is able to approximate non linear RRS. For the hierarchical approach, one numerical example is studied to show the application of the algorithm.

A game theory approach to selecting marketing-mix strategies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mansour Abedian ◽  
Atefeh Amindoust ◽  
Reza Maddahi ◽  
Javid Jouzdani
Keyword(s):  
Game Theory ◽  
Nash Equilibrium ◽  
Marketing Strategy ◽  
Equilibrium Model ◽  
Marketing Mix ◽  
Marketing Strategies ◽  
Theory Approach ◽  
Market Place ◽  
Content Type ◽  
The Game Theory

PurposeAdopting efficient marketing strategies is a challenging task in a competitive market place involving complex marketing planning, techniques and mechanisms to identify the best course of action under these circumstances and finding optimal solutions or stable outcomes. Decisions and strategies of competitors in the market influence the selection of the appropriate marketing strategy. The main purpose of this paper is to develop a mathematical methodology based on the game theory approach for planning optimal marketing-mix strategies in dynamic competitive markets, taking into account strategic foresight and interaction effects.Design/methodology/approachThe game theory approach, as a decision-making tool in conflict situations, is suggested for planning and adopting optimal marketing strategy. The main intellectual attraction of the game theory is essentially a question of how to act in gaming situations against highly rational opponents A kind of static, finite and non-cooperative game analytics approach has been developed for this issue, and the proposed model has been implemented to design optimal marketing strategies for two top brands of the automotive parts market in Iran.FindingsThe findings of this study show that the optimal marketing-mix strategy for brand A is pricing and for brand B is the product strategy.Practical implicationsGame theory and the Nash equilibrium model can provide a practical approach to find and adopt the right strategy, know competitors' movements and strategies and get more profit.Originality/valueThe integration of the game theory approach into the marketing mix framework has been adopted as a generalized model for marketing strategy planning and analysis as well as to resolve some shortcomings of the marketing mix framework. The Nash equilibrium model has been used to analyze the results. The incorporation of game theory into marketing models has the potential to enrich the scope of marketing modeling.

How to Define Trust in Medical Consultation? A New Perspective With the Game Theory Approach

2012 ◽  
Vol 3 (8) ◽  
pp. 235-238
Author(s):  
Riva S Riva S ◽  
◽  
Alessandr Antonietti ◽  
Gabriella G Gabriella G
Keyword(s):  
Game Theory ◽  
Medical Consultation ◽  
Theory Approach ◽  
The Game Theory ◽  
New Perspective

Optimization of Stationary Flat-Plate Solar Collectors

2015 ◽  
Author(s):  
Singiresu S. Rao
Keyword(s):  
Game Theory ◽  
Solar Energy ◽  
Flat Plate ◽  
Solar Collector ◽  
Probabilistic Approach ◽  
Design Parameters ◽  
Theory Approach ◽  
Solar Collectors ◽  
Beam Radiation ◽  
The Game Theory

The optimum design of stationary flat-plate solar collectors is considered using the game theory approach for multiple objectives. The clear day solar beam radiation and diffuse radiation at the location of the solar collector are estimated. Three objectives are considered in the optimization problem formulation: maximization of the annual average incident solar energy, maximization of the lowest month incident solar energy and minimization of the cost. The game theory solution represents the best compromise in terms of the supercriterion selected. Because some design parameters such as solar constant, altitude, typical day of each month and most of the design variables are not precisely known, a probabilistic approach is also proposed in this work. The results obtained by the determinist and probabilistic approaches are compared. It is found that the absolute value of each objective function decreases with an increase in either the probability of constraint satisfaction or the coefficient of variation of the random variables. This work represents the first work aimed at the application of multi-objective optimization strategy, particularly the game theory approach, for the solution of the solar collector design problem.

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