This paper presents the design and implementation of a real-time fuzzy-based artificial intelligence system for an interactive game. The chosen game is a remake of Pac-Man in which the opponents are BDI-style intelligent agents. The components of the system and the methods used in fuzzifying the game’s rules and variables are discussed. In addition, comparisons are drawn between the proposed fu...

This paper investigates core stability of cooperative (TU) games via a fuzzy extension of the totally balanced cover of a cooperative game. The stability of the core of the fuzzy extension of a game, the concave extension, is shown to reflect the core stability of the original game and vice versa. Stability of the core is then shown to be equivalent to the existence of an equilibrium of a certa...

In this article, we put forward the multi-objective matrix game model based on fuzzy payoffs. In order to solve the game model, we first discuss the relationship of two fuzzy numbers via the lower limit− 2 of the possibility degree. Then, utilizing this relationship, we conclude that the equilibrium solution of this game model and the optimal solution of multicriteria linear optimization proble...

Owing to the distributed nature of denial-of-service attacks, it is tremendously challenging to detect such malicious behavior using traditional intrusion detection systems in Wireless Sensor Networks (WSNs). In the current paper, a game theoretic method is introduced, namely cooperative Game-based Fuzzy Q-learning (G-FQL). G-FQL adopts a combination of both the game theoretic approach and the ...

An equitable risk allocation between contracting parties plays a vital role in enhancing the performance of the project. This research presents a new quantitative risk allocation approach by integrating fuzzy logic and bargaining game theory. Owing to the imprecise and uncertain nature of players’ payoffs at different risk allocation strategies, fuzzy logic is implemented to determine the value...

We firstly introduce an evaluation method of fuzzy numbers called the mean value with evaluation measures. Then, using this notion, a stopping game model with fuzzy random variables could be formulated. When a sequence of fuzzy-valued random variables(fuzzy RV) are observed, the important problem is how to treat and analyze the model. Previously the observed fuzzy RV’s are evaluated by probabil...

Harsanyi’s work on games with incomplete information is by use of probabilistic approach and constitutes one of the most important developments in game theory. This paper presents a spectrum of credibilistic game, in which the incomplete information is interpreted as fuzzy variables and processed via credibilistic approach. As the leadoff, a strategic game with fuzzy payoffs is discussed by pre...

A methodology to compare fuzzy association rules algorithms is presented in this paper, showing that allows the epithet on equal terms. This is motivated because of this is not a soft computing area with a experimental framework as developed as others, for example: Classi cation. One reason is that the problem itself is multiobjective. Thus, the diverse approaches are evaluated in di erent ways...

Selecting an appropriate route for a given virtual circuit (VC) request in a virtual path based ATM network satisfying the required Quality of service (QoS) constraints is an important issue. Two of these important constraints are average network delay and reliability of the network. In this paper, a routing strategy based on Genetic Algorithm to find suboptimal routing solution for ATM network...