The Zero-sum Game Versus The Non-zero Sum Game

Running head: THE ZERO-SUM GAME VERSUS THE NON-ZERO SUM GAME 1

The zero-sum game versus the non-zero sum game

Name of Student

Name of Institution

THE ZERO-SUM GAME VERSUS THE NON-ZERO SUM GAME 2

The zero-sum game versus the non-zero sum game

Introduction

Gaming is a common scenario done by most people with the larger portion of the gamers

being youths. The games can be classified into zero and non-zero basing on a number of factors

but the major one being the outcome. Research has it that gender is also another key contributor

to the decision making on the game to participate in.

Compare and contrast

The non-zero-game together with the Zero games are respectively utilized in game theory

and economic theory respectively. With reference to the definition, Zero-sum games, in contrast,

can be termed to be mathematical models illustrating the loss or gains of the utility in the game is

adjusted to balance by the results, that is gains and losses, by the participant on the contrary side.

The Non-zero game, on the other hand, is a state in which the achievements of the groups taking

part are less or more than zero in the expression of gains and losses (Hossain, Niyato, & Han,

2009).

The Zero-sum game is strictly competitive while the non-zero sum game is lenient in that

it can be either competitive or not. It is for this reason that the former is usually termed as strictly

competitive. Whichever rate results in the zero-sum games is taken to be a Pareto optimal whose

implication is that it is a disputing outcome and the summation of the results ought to be zero

(Jones, 2009).

A case illustration of zero-sum rate with the utilization of the pay-off matrix is shown;

THE ZERO-SUM GAME VERSUS THE NON-ZERO SUM GAME 3

(i)

30, -30

10, -10

20, -20

(ii)

10, -10

20, -20

-20, 20

The starting gamer selects green while the following gamer settles on red with none of

them having an idea about the other's selection. Upon the revelation of the results, the outcomes

for each are affected with regards to the payment. Consequently, in the search for a solution to the

Nash equilibrium for the gamers in zero-sum rate is easily found through utilization of linear

programming. The opposite occurs in a Non-zero game as probabilities change equilibriums

(Morse, 2010).

In consideration of the economics states, Non-zero sums are commonly utilized since

trading needs positive sums in terms of transactions.

Situation preference with respect to gender.

Supposing hat the gender representation were to be used in the course of the games with

basis on Carol Gilligan's moral development of the mind, then the zero-sum game ought to have

been for the masculine gender while the choice for the non-zero game would be taken by the

feminine gender. The reasoning behind this is that women on many occasions don't participate in

activities that entail risk taking. They usually favor getting into positions with higher certainty

about winning. Men mostly prefer zero sum rates as it is rewarding despite being entailing much

of risking. Transforming this into a venture, women would be more partial to participating in

ventures out of which they can be certain of getting something at the termination of the day even

if little apart from expecting a lot with no certainty. On the other hand, men are full of ambition in

THE ZERO-SUM GAME VERSUS THE NON-ZERO SUM GAME 4

line with the wish for great achievements within a short period of time, and it is for this reason that

they prefer participating in the zero-sum rate (Jones, 2009).

Conclusion

It is, therefore, clear that gender is a determinant in the way people make decisions

regarding particular situations.

THE ZERO-SUM GAME VERSUS THE NON-ZERO SUM GAME 5

References

Read more: http://www.businessdictionary.com/definition/non-zero-sum-game.html

Jones, M. T. (2009). Artificial intelligence: A systems approach. Sudbury, Mass: Jones

and Bartlett Publishers.

Morse, E. R. (2010). Juggernaut: Why the system crushes the only people who can save

it. Austin, Texas: New Classic Books.

Hossain, E., Niyato, D., & Han, Z. (2009). Dynamic spectrum access and management in

cognitive radio networks. Cambridge, UK: Cambridge University Press.

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