scholarly journals System dynamics mechanism of cross-regional collaborative dispatch of emergency supplies based on multi-agent game

2021 ◽  
Author(s):  
Ying Qiu ◽  
Meng Shi ◽  
Xinna Zhao ◽  
Yongping Jing
Keyword(s):  
Evolutionary Game ◽  
Specific Area ◽  
Equilibrium Strategy ◽  
Emergency Rescue ◽  
Emergency Logistics ◽  
Complexity Problem ◽  
Logistics Enterprises ◽  
The Face ◽  
Multi Agent ◽  
Multiple Variables

AbstractThe cross-regional coordinated dispatch of emergency supplies is a complex issue involving multiple topics, which covers multiple relationships and is affected by multiple variables. In the face of severe emergencies, relief supplies inside a specific area are far from meeting the explosive demand for emergency supplies. Besides, the supply of emergency materials and the disaster areas often have a spatial mismatch. Considering the attributes of externalities and public goods of emergency rescue, there are many obstacles for Local administration of emergency (LAE) and emergency logistics enterprises (ELE) spontaneously carrying out emergency supplies across regions. To solve this complexity problem, this research abstracts higher-level administration of emergency (HAE), LAE and ELE as the main stakeholders, with which a tripartite evolutionary game (ETG) model and a system dynamic (SD) model are constructed to analyze the dynamic mechanism of the complex system and to carry out the numerical simulation of the three-party game process. All the analyses and tests in this study have proved that the strong supervision of HAE has a decisive impact on the realization of cross-regional coordinated dispatch of emergency supplies, and the financial rewards and punishments imposed by HAE on other entities can accelerate or delay the achievement of the equilibrium strategy. However, when HAE chooses not to regulate, the cooperation willingness of LAE affects a lot that all the stakeholders will eventually reach equilibrium at (1,1,1) only if LAE chooses to actively carry out cross-regional coordinated dispatch of emergency supplies.

scholarly journals GAME THEORY BASED MULTI CRITERIA DECISION MAKING PROBLEM UNDER UNCERTAINTY: A CASE STUDY ON INDIAN TEA INDUSTRY

2018 ◽  
Vol 19 (1) ◽  
pp. 154-175 ◽  
Author(s):  
Animesh DEBNATH ◽  
Abhirup BANDYOPADHYAY ◽  
Jagannath ROY ◽  
Samarjit KAR
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Evolutionary Game ◽  
Market Volatility ◽  
Evolutionary Strategies ◽  
Multi Criteria Decision Making ◽  
Tea Industry ◽  
Multi Agent ◽  
The Impact ◽  
Indian Tea

The long-term evolution of multi agent multi criteria decision making (MCDM) and to obtain sustainable decision a novel methodology is proposed based on evolutionary game theory. In this paper multi agent MCDM is represented as an evolutionary game and the evolutionary strategies are defined as sustainable decisions. Here we consider the problem of decision making in Indian Tea Industry. The agents in this game are essentially Indian Tea Estate owner and Indian Tea board. The replicator dynamics of the evolutionary game are studied to obtain evolutionary strategies which could be defined as sustainable strategies. The multi agent MCDM in Indian Tea Industry is considered under different socio-political and Corporate Social Responsibility scenario and groups of Indian Tea Industry. Again, the impacts of imprecision and market volatility on the outcome of some strategies (decisions) are studied. In this paper the imprecision on the impact of the strategies are modelled as fuzzy numbers whereas the market volatility is taken into account as white noise. Hence the MCDM problem for Indian Tea Industry is modelled as a hybrid evolutionary game. The probabilities of strategies are obtained by solving hybrid evolutionary game and could be represented as a Dempster-Shafer belief structure. The simulation results facilitate the Decision Makers to choose the strategies (decisions) under different type of uncertainty.

Achieving Realism in 3D Interactive Systems

2011 ◽  
pp. 205-215
Author(s):  
Arman Gukasyan ◽  
Nadezhda Ilyina ◽  
Alexander Lavrov
Keyword(s):  
Virtual Worlds ◽  
New Technologies ◽  
Interactive Systems ◽  
Agent Collaboration ◽  
New Business ◽  
The Face ◽  
3D Environments ◽  
Multi Agent ◽  
Early Development Phase ◽  
The Many

Web 2.0 has demonstrated how new technologies can change the structure of the customer-provider relationship. This is evident in the many new business opportunities that have arisen including the growth of 3D environments and virtual worlds. The development of more specialized services and consumer integration creates new marketplaces with new rules of the game. As these new opportunities come to the scene, they will change the face of the world into 3D environments and a multi-agent collaboration. The adoption of virtual worlds depends a great deal on the user experience. The challenges of providing the user with virtual realism is a challenge as many supporting technologies are still in the early development phase. This chapter will discuss several of the issues and tradeoffs involved in developing Real Virtual Worlds.

scholarly journals Effective Boundary of Innovation Subsidy: Searching by Stochastic Evolutionary Game Model

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1531 ◽  
Author(s):  
Junqiang Li ◽  
Jingyi Yi ◽  
Yingmei Zhao
Keyword(s):  
Evolutionary Game ◽  
Game Model ◽  
Random Disturbance ◽  
Strategic Choices ◽  
The Public ◽  
Effective Boundary ◽  
Reasonable Range ◽  
Value Range ◽  
Cooperation Strategy ◽  
Multiple Variables

Relationship between innovation subsidies and corporate strategic choices has been extensively studied. Public innovation subsidies are by no means a certain value, existing in the form of an effective range instead. This means that the public innovation subsidies existing within the reasonable range can achieve the same incentive effect. So, what is the reasonable range or the effective boundaries of public innovation subsidies to promote enterprises that adopt cooperation strategies? There is no definite answer. Based on classical game theory, a stochastic evolutionary game model is proposed in this paper, which takes into account the influence of random disturbance on the strategy evolution process. An effective boundary of public innovation subsidy is provided as the main contribution based on a mature game scenario. A set of experimental data is subsequently selected as the sample for numerical simulation and result verification. The results showed that the probability of noncooperation within the effective value range will successfully converge to zero, which also means that the agents will adopt a collaborative cooperation strategy. The regulation effect of the combination of multiple variables is also discussed.

Exploring Agent-Based Modeling for Emergency Logistics Collaborative Decision Making

2013 ◽  
Vol 710 ◽  
pp. 781-785 ◽  
Author(s):  
Li Zhang ◽  
Zhi Qi ◽  
Hao Cui ◽  
Sen Hua Wang ◽  
Ya Hui Ning ◽  
...  
Keyword(s):  
Decision Making ◽  
Local Level ◽  
Collaborative Decision Making ◽  
Agent Based ◽  
Concept Model ◽  
Emergency Logistics ◽  
Bdi Agent ◽  
Distribution Process ◽  
Multi Agent ◽  
Collaborative Decision

Aiming at the requirements of urgency and dynamics in emergency logistics, this paper presents a multi-agent system (MAS) concept model for emergency logistics collaborative decision making. The suggested model includes three kinds of agents, i.e., role agent, function agent and assistant agent. Role agent excutes emergency logistics activities, function agent achieves the task requirements in every work phase and assistant agent helps organizing and visiting data. Two levels agent views serve as the basic skeleton of the MAS. Top level is the global decision-making view, which describes the task distribution process with multiple agents. Local level is the execution planning view, which simulates task executing process of the performer. Finally, an extended BDI agent structure model is proposed to help the implementation at application level.

An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems

Synthese ◽  
2004 ◽  
Vol 139 (2) ◽  
pp. 297-330 ◽  
Author(s):  
Karl Tuyls ◽  
Ann Nowe ◽  
Tom Lenaerts ◽  
Bernard Manderick
Keyword(s):  
Evolutionary Game ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Game Theoretic

scholarly journals Study on the Sharing Transportation Based on Game Theory

2021 ◽  
Vol 13 (16) ◽  
pp. 9347
Author(s):  
Guanqiao Pan ◽  
Hongchao Jiang ◽  
Qianhui Jin ◽  
Tianyi Zhao ◽  
Jiajun Wang ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Distribution Center ◽  
Order Quantity ◽  
Analysis Model ◽  
Allocation Model ◽  
Game Situation ◽  
Logistics Enterprises ◽  
Multi Agent ◽  
Reducing Costs ◽  
The City

In order to solve the problems of mismatch between transportation resources and order volume in logistics transportation, we propose a cooperative pattern called sharing transportation to solve this problems. In this pattern, several logistics enterprises or alliances cooperate with each other and share transportation resources to achieve the goal of reducing costs and increasing income. In this paper, we set the application scene of sharing transportation to the section from the distribution center to the service outlets in the city. We first put forward the judgment function in the analysis model of cooperative pattern, and the possible cooperative pattern is divided into three kinds by constructing and solving the replication dynamic equation. Then we proposed the income allocation model by considering the functions of order quantity and overall income. Moreover, the proposed models are extended to the multi-agent game situation to realize the sharing transportation of multiple enterprises. Finally, we use the example simulation and sensitivity analysis to verify the rationality of the model. This paper provides a new idea for how to integrate the surplus resources to increase the profit in the process of logistics transportation.

Sign in / Sign up

Export Citation Format

Share Document