Comparing Agent-Based Modeling to Cooperative Game Theory and Human Behavior

2021 ◽  
pp. 73-85
Author(s):  
Andrew J. Collins
Keyword(s):  
Game Theory ◽  
Human Behavior ◽  
Cooperative Game ◽  
Cooperative Game Theory ◽  
Agent Based Modeling ◽  
Agent Based

Interactive Agent-Based Simulation for Experimentation: A Case Study with Cooperative Game Theory

Modelling ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 425-447
Author(s):  
Andrew J. Collins ◽  
Sheida Etemadidavan
Keyword(s):  
Game Theory ◽  
Human Behavior ◽  
Cooperative Game ◽  
Cooperative Game Theory ◽  
Interactive Simulation ◽  
Agent Based ◽  
Significant Difference ◽  
Research Experiment ◽  
Human Participants

Incorporating human behavior is a current challenge for agent-based modeling and simulation (ABMS). Human behavior includes many different aspects depending on the scenario considered. The scenario context of this paper is strategic coalition formation, which is traditionally modeled using cooperative game theory, but we use ABMS instead; as such, it needs to be validated. One approach to validation is to compare the recorded behavior of humans to what was observed in our simulation. We suggest that using an interactive simulation is a good approach to collecting the necessary human behavior data because the humans would be playing in precisely the same context as the computerized agents. However, such a validation approach may be suspectable to extraneous effects. In this paper, we conducted a correlation research experiment that included an investigation into whether game theory experience, an extraneous variable, affects human behavior in our interactive simulation; our results indicate that it did not make a significant difference. However, in only 42 percent of the trials did the human participants’ behavior result in an outcome predicted by the underlying theory used in our model, i.e., cooperative game theory. This paper also provides a detailed case study for creating an interactive simulation for experimentation.

scholarly journals An agent-based model for water allocation optimization and comparison with the game theory approach

2021 ◽  
Author(s):  
Mahsa Noori ◽  
Alireza Emadi ◽  
Ramin Fazloula
Keyword(s):  
Genetic Algorithm ◽  
Game Theory ◽  
Cooperative Game ◽  
Water Allocation ◽  
Cooperative Game Theory ◽  
Theory Approach ◽  
Agent Based Model ◽  
Agent Based ◽  
Environmental Models ◽  
Optimal Water Allocation

Abstract Despite the advancement of technical tools for the analysis of complex systems, the most important issue in solving water resource problems focuses on the interaction of human and natural systems. Agent-Based Model has been used as an effective tool for the development of integrated human and environmental models. One of the main challenges of this method is identifying and describing the main agents. In this study, three main approach including Genetic Algorithm, cooperative game theory and Agent-Based Model have been used to optimize water allocation in Tajan catchment. The proposed Agent-Based Model is a new equation for calculating stakeholder utility and simulating their interactions that can create a hydrological-environmental-human relationship for demand management and optimal water allocation. The results showed that the total benefit of cooperative game theory and Agent-Based Model relative to Genetic Algorithm has been increased 24 and 21% respectively. Although the total benefit in game theory is greater than the Agent-Based Model, but the Agent-Based Model considering the agents feedback propose a more comprehensive approach to optimal water allocation.

A Cooperative Game Theory Approach for Usage and Reliability Margin Cost Allocation under Contingent Restructured Market

2014 ◽  
Vol 9 (4) ◽  
pp. 854 ◽  
Author(s):  
Baseem Khan ◽  
Ganga Agnihotri ◽  
Pawan Rathore ◽  
Anuprita Mishra ◽  
Garima Naidu
Keyword(s):  
Game Theory ◽  
Cooperative Game ◽  
Cooperative Game Theory ◽  
Cost Allocation ◽  
Theory Approach

scholarly journals Modelling utility-aggregator-customer interactions in interruptible load programmes using non-cooperative game theory

2021 ◽  
Vol 133 ◽  
pp. 107183
Author(s):  
Soheil Mohseni ◽  
Alan C. Brent ◽  
Scott Kelly ◽  
Will N. Browne ◽  
Daniel Burmester
Keyword(s):  
Game Theory ◽  
Cooperative Game ◽  
Cooperative Game Theory ◽  
Interruptible Load

Grid Cyber-Physical System Risk Management Model Based on Cooperative Game Theory

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang
Keyword(s):  
Game Theory ◽  
Risk Management ◽  
Cooperative Game ◽  
Physical System ◽  
Cooperative Game Theory ◽  
Power Grid ◽  
Management Model ◽  
Cyber Physical System ◽  
Model Based ◽  
Generation Power

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.

Review of Cooperative Game Theory applications in power system expansion planning

2021 ◽  
Vol 145 ◽  
pp. 111056
Author(s):  
Andrey Churkin ◽  
Janusz Bialek ◽  
David Pozo ◽  
Enzo Sauma ◽  
Nikolay Korgin
Keyword(s):  
Game Theory ◽  
Power System ◽  
Cooperative Game ◽  
Cooperative Game Theory ◽  
System Expansion ◽  
Expansion Planning

Query Games in Databases

2021 ◽  
Vol 50 (1) ◽  
pp. 78-85
Author(s):  
Ester Livshits ◽  
Leopoldo Bertossi ◽  
Benny Kimelfeld ◽  
Moshe Sebag
Keyword(s):  
Game Theory ◽  
Cooperative Game ◽  
Shapley Value ◽  
Cooperative Game Theory ◽  
The Shapley Value ◽  
Computational Aspects ◽  
Aggregate Query ◽  
Boolean Query

Database tuples can be seen as players in the game of jointly realizing the answer to a query. Some tuples may contribute more than others to the outcome, which can be a binary value in the case of a Boolean query, a number for a numerical aggregate query, and so on. To quantify the contributions of tuples, we use the Shapley value that was introduced in cooperative game theory and has found applications in a plethora of domains. Specifically, the Shapley value of an individual tuple quantifies its contribution to the query. We investigate the applicability of the Shapley value in this setting, as well as the computational aspects of its calculation in terms of complexity, algorithms, and approximation.

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