Ye Ye

• Anhui University of Technology

For a certain kind of decision event, the decision maker does not know the internal mechanism and knowledge information of the decision events.When this kind of decision events gives multiple selection branches, it is found that there is a decision psychological tendency to find the most common features by comparing the selection branches. Based on...

A zero-knowledge decision making (ZKDM) method is proposed, and checked for correctness. For a certainkind of decision event, the decision maker does not know the internal mechanism and knowledge informationof the decision event. By defining the feature points and feature sets of the selection branches of the decisionevent, the characteristic momen...

A minimalistic multi-agent Parrondo’s game structure with network evolution (Game A) and branching dependent on the number of wins and losses of neighbors (Game B) was previously introduced, indicating that Parrondo’s paradox occurs, in which a losing strategy and a neutral strategy combine to yield a winning one. Using a similar Game B’s structure...

In this paper, emotions are classified into four types, namely, respect for the strong, envying the strong, sympathy for the weak, and bullying the weak. The corresponding relationship between the four emotion types and the two behaviors of competition and cooperation is then defined. The payoff matrices of the game based on emotions are obtained a...

In this work, an improved moth-flame optimization algorithm is proposed to alleviate the problems of premature convergence and convergence to local minima. From the perspective of diversity, an inertia weight of diversity feedback control is introduced in the moth-flame optimization to balance the algorithm’s exploitation and global search abilitie...

In this paper, a co-evolution method of game dynamics and network structure is adopted to demonstrate that neighboring niches of an individual or population may have great influence in determining lifestyle adoption. The model encompasses network structure evolution, denoted CaseA, and pure games participated in by individuals in the network with t...

A multi-agent Parrondo’s model based on complex networks is studied to analyze the influence of network degree correlation on Parrondo’s paradox. The model includes a zero-sum Game A, representing cooperation and competition behaviors between agents, and a two-branch Game B, representing the capital of a node and all of its neighbors. Then the para...

The Parrondo's paradox is a counterintuitive phenomenon in which individually losing strategies, canonically termed game A and game B, are combined to produce winning outcomes. In this paper, a co-evolution of game dynamics and network structure is adopted to study adaptability and survivability in multi-agent dynamics. The model includes action A,...

Rumor spreading can have a significant impact on people’s lives, distorting scientific facts and influencing political opinions. With technologies that have democratized the production and reproduction of information, the rate at which misinformation can spread has increased significantly, leading many to describe contemporary times as a ‘post-trut...

A multi-agent Parrondo’s model based on complex networks is used in the current study. For Parrondo’s game A, the individual interaction can be categorized into five types of behavioral patterns: the Matthew effect, harmony, cooperation, poor-competition-rich-cooperation and a random mode. The parameter space of Parrondo’s paradox pertaining to eac...

The ubiquity of altruist behavior amongst humans has long been a significant puzzle in the social sciences. Ultimatum game has proved to be a useful tool for explaining altruistic behavior among selfish individuals. In an ultimatum game where alternating roles exist, we suppose that players make their decisions based on the net profit of their own....

On the basis of the analysis and research on energy consumption required by vibration isolation of the related suspensions and the potential of energy recovery of the energy regenerative suspension, a new hydraulic energy regenerative suspension (HERS for short) is devised by using the dynamic pressure feedback method, which makes the dynamic dampi...

For a multi-agent spatial Parrondo's model that it is composed of games A and B, we use the discrete time Markov chains to derive the probability transition matrix. Then, we respectively deduce the stationary distribution for games A and B played individually and the randomized combination of game A + B. We notice that under a specific set of param...

In an ultimatum game where competitive pressures and alternating roles exist, we suppose that players make their decisions based on the net profit of their own. Here we conduct a behavioral experiment in a selection examination, and then we establish a model and study the evolution of strategies on square lattices. In this model, we specify a playe...

Biotic individuals often compare their own payoffs with those of others, which results in endogenetic emotions ranging from compassion to harshness towards a weaker player or from respect to envy feeling against a stronger fellow. Consequently, the individual reaction can be a cooperative or defect act. Our paper establishes possible interactions b...

For the multi-agent spatial Parrondo’s games, the available theoretical analysis methods based on the discrete-time Markov chain were assumed that the losing and winning states of an ensemble of N players were represented to be the system states. The number of system states was 2N types. However, the theoretical calculations could not be carried ou...

A multi-agent Parrondo's model is proposed in the paper. The model includes link A based on the rewiring mechanism (the network evolution) + game B (dependent on the spatial neighbors). Moreover, to produce the paradoxical effect and analyze the "agitating" effect of the network evolution, the dynamic processes of the network evolution + game B are...

Parrondo's games were first constructed using a simple tossing scenario, which demonstrates the following paradoxical situation: in sequences of games, a winning expectation may be obtained by playing the games in a random order, although each game (game A or game B) in the sequence may result in losing when played individually. The available Parro...

We show that the resolution of social dilemmas in random graphs and scale-free networks is facilitated by imitating not the strategy of better-performing players but, rather, their emotions. We assume sympathy and envy to be the two emotions that determine the strategy of each player in any given interaction, and we define them as the probabilities...

The calculation of dynamic contact between the bottom of a hammer and the surface of soil is the key technical issue in dynamic compaction. In this paper, a large deformation hypothesis is used based on the relationship between strain and displacement. Then, nonlinear governing equations of soil, based on a finite-element approach, are established...

We show that the resolution of social dilemmas on random graphs and scale-free networks is facilitated by imitating not the strategy of better performing players but rather their emotions. We assume sympathy and envy as the two emotions that determine the strategy of each player by any given interaction, and we define them as probabilities to coope...

Through research and bionics of biology survival mode, game players with competition, cooperation and self-adaptation capacity are introduced in the multi-objective design. The dynamic behavior and bounded rationality in game processes for players are considered according to Chinese saying “In success, commit oneself to the welfare of the society;...

We assume a multi-agent model based on Parrondo’s games. The model consists of game A between individuals and game B. In game A, two behavioral patterns are defined: competition and inaction. A controlled alternation strategy of behavioral pattern that gives a single player the highest return is proposed when game A+B is played randomly. Interestin...

Based on the original Parrondo's game and on the case where game A and game B are played randomly with modulo M=4, the processes of the game are divided into odd and even numbered plays, where the probability of playing game A in odd numbers is γ1 and the probability of playing game A in even numbers is γ2. By using the discrete time Markov chain,...

The paper tries to explain the biological evolutionary mechanism based on Parrondo's games. The multi-agent Parrondo's games proposed include game A and game B. Game A, a zero-sum game, reflects the interactive relationship of competition or cooperation between individuals. A two-dimensional lattice network is used to represents the spatial carrier...

This paper is based on Parrondo's history-dependent game model that has been put forward by P.Arena. Using discrete-time Markov chains and computer simulation, we analyse the parrondo's paradox when games ABC…ABC played periodically and the parameter M=4. And then we find the volume of parameter space for which the paradox takes effect. Meanwhile w...

In our previous study [Zhu et al., Quantum game interpretation for a special case of Parrondo’s paradox, Physica A 390 (2011) 579], the capital-dependent Parrondo’s game where one game depends on the capital modulus M=4 was shown not to have a definite stationary probability distribution and that payoffs of the game depended on the parity of the in...

The paper studies a multi-agent Parrondo's game with history dependence. With the complex networks as the spatial carrier, the adaptation of cooperation and competition (coopetition for short) behaviors is analyzed and the impact of the degree distribution of the heterogeneity on the behavioral adaptation is investigated. The multi-agent Parrondo's...

A multi-agent spatial Parrondo game model is designed according to the cooperative Parrondo’s paradox proposed by Toral. The model is composed of game A and game B. Game A is a zero-sum game between individuals, reflecting competitive interaction between an individual and its neighbors. The winning or losing probability of one individual in game B...

By using the discrete Markov chain method, Parrondo’s paradox is studied by means of theoretical analysis and computer simulation, built on the case of game AB played in alternation with modulus M=4. We find that such a case does not have a definite stationary probability distribution and that payoffs of the game depend on the parity of the initial...

For flocking task of multiple mobile robots (MMR for short), the paper establishes a multi-objective optimization model and studies a solving method based on game theory. According to evolutionary game theory and taking the dynamic variability of gaming behaviors into account, it proposes a method based on evolutionary game model by using evolution...

For research on individuals' coopetition in biological systems, the author designs a Parrondo's game model of biotic population, which displays two game relations in the course of individuals' survival and evolution: (1) zero-sum game among individuals (Game A). Game A represents the interaction mechanism among individuals. In this article, game re...

The paper presents the game description of multi-objective optimization design problem and takes the design objectives as different players. By calculating the affecting factors of the design variables to objective functions and fuzzy clustering, the design variables are divided into different strategic spaces owned by each player. Then it uses Nas...

For the search task in a circular region of multiple mobile robots, the paper put forward covering-feature of search environment and formation integrity as two objective functions for multiple robots. Searching region area and the distance between formation geometric center of multiple robots and the circular region center were used to express quan...

It established multi-objective optimal mathematic model and did research on solving methods based on game theory. First, n robots specified n players. Second, it decomposed the design variables set and took the design variables set of paths which belonged to each robot as strategy space of the corresponding players. Third, it established mapping re...

By applying evolutionary game theory, a control strategy for active suspension based on a quarter-car vehicle model is proposed to control body vertical acceleration, suspension travel and tire deformation. With impact facts calculation and fuzzy clustering, it also presents the game description about multi-objective problems by decomposing design...