Evolutionary Game Theory - Science topic

One of the earliest applications of game theory to terrorist risk management was implemented half a century ago at the Los Angeles airport. A limited number of hired security guards with dogs to target areas (suspicious passengers) and at times when the risk level is significantly elevated. The number of crimes has dropped in a big way. In Poland, the Ideas NCBiR research team is currently working on developing an AI-based system for SOK, i.e., the Railway Protection Service to improve the work of SOK employees and improve risk management processes. Patrols of SOK, i.e. Railway Protection Service control railroad traction preventing theft of railroad traction and counteracting acts of vandalism consisting of graffiti painting by mischievous youths, etc. must on the one hand move around the railroad area in a random manner, but on the other hand SOK employees having this system should appear in places and times where there will be a much higher level of risk of committing a specific crime. This should significantly increase the level of detected cases of attempted crime, i.e. “in the act of committing a crime”, and effectively prevent a significant proportion of cases of crime that could happen without the use of this system. The system created in this function is intended to support the man and not replace him. It suggests solutions, paths to navigate the area of the turn, the user can use these hints, reject them or ask for others. Besides, the system is supposed to learn from the experience of users - humans. There are more and more applications of this kind in improving risk management systems.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

And the applications of Big Data technologies in sentiment analysis, business analytics and risk management were described in my co-authored article:

I invite you to get acquainted with the issues described in the above-mentioned publications, as well as to scientific cooperation in these issues.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this subject?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Game theory is a very promising technique to achieve optimal outcomes and can be applied to almost all concepts. I am trying to explore game theory for future purposes. However, as a beginner, I couldn't get very good resources regarding game theory.

Please share your resources (i.e., video or blog tutorial, research paper) regarding game theory, which covers the following things.

1. How to apply game theory?

2. How to prove optimal gain after applying game theory, (e.g., proving Nash equilibrium).

3. What are the state-of-the-art game theory techniques?

Thanks in advance.

The evolutionary game model and agent model can be used to study the decision-making of micro individuals. What are the similarities and differences between them? What scenario is applicable?

Dear colleagues, friends, and professors,

As we know, we have very strong analytical approaches to control theory. Any dynamic decision-making process that its variables change in time could be characterized by state-space and/or state-action representations. However, we see very few control viewpoints for solving electricity market problems. I would like to invite you to share your thoughts about the opportunities, and limitations of such a viewpoint.

Thank you and kind regards,

Reza.

Hello Sir/Mam,

I wants suggestion about Open Problems/Challenges in field of Evolutionary Computing and Computational Intelligence Field for Thesis work.

Kindly Guide me.

Thanks

Suppose we have a set of players, i.e., {p₁, p₂, ..., p_n} and each player has three different strategies, i.e., {s₁, s₂, s₃}. They play m number of games. In each game, each player seeks to maximize its profit by selecting a strategy with highest playoff. The profit associated with each strategy is as follows.

1) Payoff for selecting strategy s₁ is zero

2) Payoff for selecting strategy s₂ is a real number, which is calculated using some formula f₁

3) Payoff for selecting strategy s₃ is also a real number, however, it is calculated using another formula f₂

I want to prove the existence of Nash equilibrium when all the players select one of the available strategies.

I have searched on web and found several documents, however, I couldn't get a clear idea to prove it mathematically.

Any help is deeply appreciated. Please let me know if I have missed any information. Thank you in advance.

Hi,

I would like to derive a mathematical model that can explain the change in frequencies of two genes that cause resistance to a particular antibiotic. Based on the literature, one of the genes is expressed only constitutive, while the other is a membrane protein. I would like to know the methods and protocols to follow for using evolutionary game theory. As I am learning it right now, any reference to similar articles or texts would be much appreciated.

Thanks.

Hi 

I want to calculate the enzyme activities of a wild type (structure determined using x-ray crystallography) and a mutant protein (the structure of this protein was determined by homology modelling). I would like to measure the differences in enzyme activities for a particular substrate using any computational methods without any experimental procedures. Please tell me any methods or studies regarding the same.

Thank you.

I mean, are MDP and reinforcement learning as powerful as evolutionary game theory to model evolutionary dynamics of populations?

i am try to analyze the stability of illegal coalitions. i have found some scholars using evolutionary game theory to explain the stability of coalitions,but i can not fully understand this theoretical tool. so i hope someone can give me a hand.

it is important to judge the saddle points when we analyze the Jacobian matrix in evolutionary game models. however, i find that some people use the detJ<0 to judge while others use traJ=0. so, can someone give me a answer to my confusion?

I want to study the Evolutionary Game Dynamics and its applications on Economics topic?

Does any one know or point out the method or technique used for the distribution of the coalition cost among the coalition members depending upon their contributions in the coalition. In other words, if a member of the coalition contributes more in the coalition as compared to others then the share of the coalition cost would be less as compared to others? 

I find that there are two definitions of ESS and they are quite different in solving games.

According to Marynard Smith and Price's definition,

E(S,S) > E(T,S), or

E(S,S) = E(T,S) and E(S,T) > E(T,T)

It is possible that a game has more than one ESS.

Another definition is (Thomas, 1985)

E(S,S) ≥ E(T,S), and

E(S,T) > E(T,T)

With my understanding, this definition allows only one ESS in a game. Because if there are two ESSes, say one is S and another is T, the conditions cannot hold for both S and T.

So which definition of ESS do you use in your research?