Seizure onset detection based on detection of changes in brain activity quantified by evolutionary game theory model

2021 ◽  
Vol 199 ◽  
pp. 105899
Author(s):  
Ramtin Hamavar ◽  
Babak Mohammadzadeh Asl
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Brain Activity ◽  
Evolutionary Game ◽  
Theory Model ◽  
Onset Detection ◽  
Seizure Onset

Research on Opportunistic Behavior in Energy Security Cooperation of China and Japan

2011 ◽  
Vol 71-78 ◽  
pp. 2085-2088
Author(s):  
Chun Chu ◽  
De Shan Tang
Keyword(s):  
Game Theory ◽  
Behavior Analysis ◽  
Evolutionary Game Theory ◽  
Energy Security ◽  
Evolutionary Game ◽  
Theory Model ◽  
Opportunistic Behavior ◽  
Security Cooperation ◽  
Energy Cooperation ◽  
China And Japan

Analyze the opportunistic behavior between China and Japan in energy security cooperation with game theory. There are two types countries in the process of the cooperation, they are opportunistic and cooperating countries. To use of evolutionary game theory model of cooperation and energy cooperation between China and Japan in the opportunistic behavior analysis, the results show that under certain conditions, cooperation can be avoided the incidence of opportunistic behavior, if not satisfy the relevant constraints, the co-operation will inevitably.

scholarly journals Production-Use Water Pricing and Corporate Water Use in China: An Evolutionary Game Theory Model

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yao Xiao ◽  
Qiao Peng ◽  
Wanting Xu ◽  
Hongye Xiao
Keyword(s):  
Game Theory ◽  
Water Supply ◽  
Evolutionary Game Theory ◽  
Water Conservation ◽  
Local Governments ◽  
Evolutionary Game ◽  
Developed Countries ◽  
Policy Formulation ◽  
Theory Model ◽  
Water Pricing

Decisions related to pricing production-use water are a critical issue that local governments in China are facing. Its significance has increased in recent years, as a serious corporate water-supply shortage has surfaced with rapid economic development and urbanization. Different from developed countries, the pricing of production-use water is a complex issue in China that involves the distribution of benefits among local governments, water-supply companies, and water-consuming companies, where the overall balance is affected by every slight adjustment. Based on the evolutionary game theory, this study constructs an evolutionary game model involving water-supply companies and water-consuming companies with a systematic analysis of the interaction process between the policy formulation related to water pricing by water-supply companies and the decision making related to water consumption by water-consuming companies. The research finds that the difficulty of balancing corporate financial benefits and public water conservation benefits has led to the complexity of water pricing. Moreover, raising water prices will not necessarily cause companies to save water, but it will increase the production cost of the entire economy. This is the direct cause of low water prices, implemented by water-supply companies, in many regions of China.

scholarly journals The social evolution of genocide across time and geographic space: Perspectives from evolutionary game theory

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Charles H. Anderton
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Social Evolution ◽  
Evolutionary Game ◽  
Theory Model ◽  
Geographic Space ◽  
Policy Interventions ◽  
The Social ◽  
The Holocaust ◽  
Moore Neighborhood

A standard evolutionary game theory model is used to reveal the interpersonal and geographic characteristics of a population that make it vulnerable to accepting the genocidal aims of political leaders. Under conditions identified in the space-less version of the model, genocide architects can engineer the social metamorphosis of a peaceful people-group into one that supports, or does not resist, the architects’ atrocity goals. The model reveals policy interventions that prevent the social evolution of genocide among the population. The model is then extended into geographic space by analyzing interactions among peaceful and aggressive phenotypes in a Moore neighborhood. Key concepts of the analyses are applied to the onset and spread of genocide during the Holocaust (1938-1945) and to the prevention of genocide in Côte d'Ivoire (2011). [JEL codes: C73, D74]

scholarly journals Lyapunov stability in an evolutionary game theory model of the labour market

EconomiA ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Ricardo Azevedo Araujo ◽  
Helmar Nunes Moreira
Keyword(s):  
Game Theory ◽  
Labour Market ◽  
Lyapunov Stability ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Theory Model

scholarly journals Cooperate without looking: Why we care what people think and not just what they do

2015 ◽  
Vol 112 (6) ◽  
pp. 1727-1732 ◽  
Author(s):  
Moshe Hoffman ◽  
Erez Yoeli ◽  
Martin A. Nowak
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Subgame Perfect Equilibrium ◽  
Categorical Imperative ◽  
Population Based ◽  
Theory Model ◽  
The Other ◽  
Perfect Equilibrium ◽  
Human Interactions

Evolutionary game theory typically focuses on actions but ignores motives. Here, we introduce a model that takes into account the motive behind the action. A crucial question is why do we trust people more who cooperate without calculating the costs? We propose a game theory model to explain this phenomenon. One player has the option to “look” at the costs of cooperation, and the other player chooses whether to continue the interaction. If it is occasionally very costly for player 1 to cooperate, but defection is harmful for player 2, then cooperation without looking is a subgame perfect equilibrium. This behavior also emerges in population-based processes of learning or evolution. Our theory illuminates a number of key phenomena of human interactions: authentic altruism, why people cooperate intuitively, one-shot cooperation, why friends do not keep track of favors, why we admire principled people, Kant’s second formulation of the Categorical Imperative, taboos, and love.

scholarly journals Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory

2018 ◽  
Author(s):  
Mark Gluzman ◽  
Jacob G. Scott ◽  
Alexander Vladimirsky
Keyword(s):  
Game Theory ◽  
Dynamic Programming ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Treatment Strategies ◽  
Theory Model ◽  
Optimal Treatment ◽  
Tumor Evolution ◽  
Trade Offs ◽  
Adaptive Therapy

Recent clinical trials have shown that the adaptive drug therapy can be more efficient than a standard MTD-based policy in treatment of cancer patients. The adaptive therapy paradigm is not based on a preset schedule; instead, the doses are administered based on the current state of tumor. But the adaptive treatment policies examined so far have been largely ad hoc. In this paper we propose a method for systematically optimizing the rules of adaptive policies based on an Evolutionary Game Theory model of cancer dynamics. Given a set of treatment objectives, we use the framework of dynamic programming to find the optimal treatment strategies. In particular, we optimize the total drug usage and time to recovery by solving a Hamilton-Jacobi-Bellman equation based on a mathematical model of tumor evolution. We compare adaptive/optimal treatment strategy with MTD-based treatment policy. We show that optimal treatment strategies can dramatically decrease the total amount of drugs prescribed as well as increase the fraction of initial tumour states from which the recovery is possible. We also examine the optimization trade-offs between the total administered drugs and recovery time. The adaptive therapy combined with optimal control theory is a promising concept in the cancer treatment and should be integrated into clinical trial design.

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