A fuzzy approach to the prisoner's dilemma

Borges, Paulo S. S.; Pacheco, Roberto Carlos dos Santos; Barcia, Ricardo Miranda; Khator, Suresh K.

doi:10.1016/s0303-2647(96)01667-x

Cited by 22 publications

(12 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The task of the players is to find strategies to optimize their payoffs. In [24] a fuzzy approach was proposed to the IPD. In a recent work a coevolutionary algorithm was developed to solve fuzzy games with generic sum [25].…”

Section: Evolutionary Methods For Bidding Strategies In Electricity Mmentioning

confidence: 99%

Multiagent coevolutionary genetic fuzzy system to develop bidding strategies in electricity markets: computational economics to assess mechanism design

Walter

Gomide

2009

Evol. Intel.

View full text Add to dashboard Cite

This paper suggests a genetic fuzzy system approach to develop bidding strategies for agents in online auction environments. Assessing efficient bidding strategies is a key to evaluate auction models and verify if the underlying mechanism design achieves its intended goals. Due to its relevance in current energy markets worldwide, we use day-ahead electricity auctions as an experimental and application instance of the approach developed in this paper. Successful fuzzy bidding strategies have been developed by genetic fuzzy systems using coevolutionary algorithms. In this paper we address a coevolutionary fuzzy system algorithm and present recent results concerning bidding strategies behavior. Coevolutionary approaches developed by coevolutionary agents interact through their fuzzy bidding strategies in a multiagent environment and allow realistic and transparent representations of agents behavior in auction-based markets. They also improve market representation and evaluation mechanisms. In particular, we study how the coevolutionary fuzzy bidding strategies perform against each other during hourly electric energy auctions. Experimental results show that coevolutionary agents may enhance their profits at the cost of increasing system hourly price paid by demand.

show abstract

Section: Evolutionary Methods For Bidding Strategies In Electricity Mmentioning

confidence: 99%

Multiagent coevolutionary genetic fuzzy system to develop bidding strategies in electricity markets: computational economics to assess mechanism design

Walter

Gomide

2009

Evol. Intel.

View full text Add to dashboard Cite

show abstract

“…The prisoner's dilemma (Borges and Pacheco, 1997) is one of the classical games. The interactions of the players in the prisoner's dilemma are generally described by a 2 × 2 payoff matrix (Gao et al, 2009) of player A as in equation (9),…”

Section: Evolutionary Prisoner's Dilemmamentioning

confidence: 99%

Design of prisoner's dilemma-based fuzzy C-means computed torque controller for PUMA-560 robot manipulator

Kumar

Sudha

Pushpalatha³

2017

IJISDC

View full text Add to dashboard Cite

Robots are highly nonlinear and chaotic in position control. The present paper mainly presents the position control of PUMA-560 Robot manipulator. Computed torque controller (CTC) is one of the solutions for position control of robot manipulators. The main drawback of controller is that it fails to operate under different dynamic operating conditions. To overcome this difficulty, intelligent controllers have gained importance. In this paper a novel approach, design of prisoner's dilemma-based fuzzy C-means controller to control the position of robot manipulator is presented. This controller is employed at the inputs of computed torques for obtaining the desired position. Fuzzy C-means controller with computed torques is realised by validating the clusters to choose most contributed rules. Thus the unfired rules are eliminated from the actual rule-base. Hence, a compact fuzzy controller with minimum rule-base, fuzzy C-means computed torque controller (FCMCTC), is designed. The concept of prisoner's dilemma is introduced in this paper to improve the fuzzy strategy. The interrelations between inputs and outputs of a fuzzy linguistic model are assigned using payoff matrix through prisoner's dilemma. Simulation results prove the efficacy of proposed controller when compared to proportional derivative computed torque controller (PD-CTC), normal FLC and that of the reference signal.

show abstract

“…Nowadays, a large number of contributions to fuzzy games are found in literature, e.g., in [3,4,5,6]. The majority of models are based on the classical crisp method of maintaining of the equilibrium [1,2], provided that assumptions of fuzzy approaches differ a lot from each other.…”

Section: Introductionmentioning

confidence: 99%

Two–player Games With Fuzzy Entries of the Payoff Matrix

Rakus-Andersson

Salomonsson²,

Zettervall

2008

Computational Intelligence in Decision and Control

View full text Add to dashboard Cite

We expand the classical model of a two-player game by inserting of fuzzy sets as payoff values in the game matrix. Players can thus formulate their payoff expectations with words instead of deciding on numerical entries of the matrix. In this way we count on the better verbal communication between players when designing the preliminaries of the game. As a final result we expect to obtain samples of the players' optimal strategies, which will preserve the profit of the game on the neutral level.

show abstract

A fuzzy approach to the prisoner's dilemma

Cited by 22 publications

References 8 publications

Multiagent coevolutionary genetic fuzzy system to develop bidding strategies in electricity markets: computational economics to assess mechanism design

Multiagent coevolutionary genetic fuzzy system to develop bidding strategies in electricity markets: computational economics to assess mechanism design

Design of prisoner's dilemma-based fuzzy C-means computed torque controller for PUMA-560 robot manipulator

Two–player Games With Fuzzy Entries of the Payoff Matrix

Contact Info

Product

Resources

About