scholarly journals IMPACTO DOS REGIMES DE MANEJO FLORESTAL SOBRE USO E CONSERVAÇÃO DOS RECURSOS FLORESTAIS E RENDIMENTOS DOS INTERVENIENTES EM SAVANE, MOÇAMBIQUE

FLORESTA ◽  
2011 ◽  
Vol 41 (4) ◽  
Author(s):  
Mário Paulo Falcão ◽  
Dartagnan Baggio Emerenciano
Keyword(s):  
Game Theory ◽  
Forest Management ◽  
Open Access ◽  
Dynamic Game ◽  
Well Being ◽  
Theoretic Model ◽  
Miombo Woodlands ◽  
Management Regimes ◽  
Game Theoretic ◽  
The Impact

As altas taxas de desmatamento em Moçambique, estimadas em 0,24% ao ano, associadas à degradação da terra trouxeram mudanças institucionais na procura de políticas e estratégias para manejar os recursos florestais. Regimes de manejo florestal e políticas que satisfaçam as necessidades dos vários intervenientes e garantam o uso sustentável dos recursos florestais são um complexo para ser analisado. Este estudo de caso realizado no distrito do Dondo, localidade de Savane, analisa o impacto das várias alternativas de regime de manejo florestal sobre os rendimentos dos usuários e a conservação da floresta de miombo. Modelos dinâmicos de sistemas baseados na teoria de jogos foram desenvolvidos e implementados com base no software POWERSIM. Os resultados mostram que regimes de manejo de comando (centralizados), incorporando aspectos sociais ou sociais e ambientais são potencialmente mais benéficos para o setor familiar que o regime de licença simples ou não cooperativo. O regime de licença é a opção mais benéfica de manejo florestal para o setor privado.Palavras-chave: Teoria de jogos; modelo dinâmico sistemático. AbstractImpact of forest management regimes of forest resource use, conservation and income of stakeholders in Savane, Mozambique. Higher deforestation rates in Mozambique, estimated as 0.24% per annum, associated with land degradation brought institutional changes in the search for adequate policies and strategies for the management of its natural resources. Forest management regimes and policies that satisfies the needs of several stakeholders and guarantee sustainable use of forest resources, is a complex to be analysed. A case study was carried out in Dondo district, Savane locality, to analyse the impact of alternative forest management regimes on the well being of stakeholders and conservation of the miombo woodlands. Dynamic game theoretic models based o game theory were developed and implemented with software POWERSIM. This study shows that regulated forest management regimes, incorporating social concerns or social and environmental concerns, are potentially more beneficial to the household sector that the open access regime. The open access is more beneficial regime to the private sector.Keywords: Forest management regimes; game theory; stakeholders; dynamic game theoretic model.

Augmenting Employees’ Efforts in Innovation

2021 ◽  
pp. 097674792198917
Author(s):  
Nikita Jain
Keyword(s):  
Theoretic Model ◽  
Wrongful Discharge ◽  
Equilibrium Level ◽  
Game Theoretic ◽  
Game Theoretic Model ◽  
The Impact

Strong labour laws play a major role in motivating innovation among employees. It has been found in the literature that stringency of labour laws is positively linked with employees’ efforts in innovation, in particular, wrongful discharge laws (WDL). However, employees may also bring nuisance suits against employers. Usually, the result of these suits is that both parties settle with each other. Thus, even if employees are justly dismissed, they may be able to bring nuisance suits against employers and gain a settlement amount. This article investigates how the possibility of nuisance suits affects the impact of WDL on employees’ efforts in innovation. In this respect, a game-theoretic model is developed in the article to find the equilibrium level of employees’ efforts in the presence of nuisance suits, where there is a possibility of employees getting discharged from the firm. I find that if nuisance suits are a possibility, the stringency of WDL has no impact on employees’ efforts if defence cost of the firm is low; but for higher defence costs, WDL affects employees’ efforts. The efforts exerted by an employee are found to be weakly increasing in the defence costs of the firm.

scholarly journals Multiple agents managing a harmful species population should either work together to control it or split their duties to eradicate it

2020 ◽  
Vol 117 (19) ◽  
pp. 10210-10217 ◽  
Author(s):  
Adam Lampert
Keyword(s):  
General Theorem ◽  
Dynamic Game ◽  
Theoretic Model ◽  
Multiple Agents ◽  
Severe Damage ◽  
Global Challenge ◽  
Species Population ◽  
Game Theoretic ◽  
Game Theoretic Model ◽  
Harmful Species

The management of harmful species, including invasive species, pests, parasites, and diseases, is a major global challenge. Harmful species cause severe damage to ecosystems, biodiversity, agriculture, and human health. In particular, managing harmful species often requires cooperation among multiple agents, such as landowners, agencies, and countries. Each agent may have incentives to contribute less to the treatment, leaving more work for other agents, which may result in inefficient treatment. A central question is, therefore, how should a policymaker allocate treatment duties among the agents? Specifically, should the agents work together in the same area, or should each agent work only in a smaller area designated just for her/him? We consider a dynamic game-theoretic model, where a Nash equilibrium corresponds to a possible set of contributions that the agents could adopt over time. In turn, the allocation by the policymaker determines which of the Nash equilibria could be adopted, which allows us to compare the outcome of various allocations. Our results show that fewer agents can abate the harmful species population faster, but more agents can better control the population to keep its density lower. We prove this result in a general theorem and demonstrate it numerically for two case studies. Therefore, following an outbreak, the better policy would be to split and assign one or a few agents to treat the species in a given location, but if controlling the harmful species population at some low density is needed, the agents should work together in all of the locations.

Manufacturer’s Leasing Channel Management in a Car Supply Chain

2020 ◽  
Vol 37 (06) ◽  
pp. 2050026
Author(s):  
Lihong Cheng ◽  
Xiaolong Guo ◽  
Bo Wang
Keyword(s):  
Production Cost ◽  
Theoretic Model ◽  
Consumer Experience ◽  
Interesting Phenomenon ◽  
Pricing Policy ◽  
Game Theoretic ◽  
Leasing Company ◽  
The Impact ◽  
Centralization And Decentralization ◽  
Main Model

Thanks to the convenient and hassle-free manner of leasing service, the car leasing industry has flourished in recent years. To leverage commercial opportunities, many well-known car manufacturers have chosen to enter the leasing market rather than focus solely on the selling market. An interesting phenomenon is that some manufacturers establish their own leasing departments to gain revenue from the leasing market (referred to as centralization), while other manufacturers conduct their leasing businesses through an autonomous leasing company (referred to as decentralization). In this paper, we propose a game-theoretic model to explore whether a car manufacturer should manage a leasing department in a centralized channel or have the leasing business done by an autonomous company in a decentralized channel. We demonstrate the optimal pricing policy for the manufacturer, dealer, and leasing department/company under both centralization and decentralization. In the main model, we assume that the consumer experience value preference follows a uniform distribution, and leasing brings consumers a better experience value than purchasing, and we normalize the marginal production cost of the product to zero. Our analysis reveals that neither centralization nor decentralization is always optimal, and the related boundary is analyzed. An interesting finding is that as the consumers’ leasing experience value rises, the dealer obtains higher profit, even though it serves fewer consumers in the decentralized channel. In the extension, we relax our assumptions to examine the impact of a normal distribution of consumer experience value preferences, a large purchasing experience value, and a non-negligible production cost, and we find that most of the main model results still hold qualitatively.

Scheduling Multi-Workflows Over Heterogeneous Virtual Machines With a Multi-Stage Dynamic Game-Theoretic Approach

2018 ◽  
Vol 15 (4) ◽  
pp. 82-96 ◽  
Author(s):  
Lei Wu ◽  
Yuandou Wang
Keyword(s):  
Virtual Machines ◽  
Dynamic Game ◽  
Scientific Workflow ◽  
Third Party ◽  
Theoretic Model ◽  
Theoretic Approach ◽  
Multi Stage ◽  
Game Theoretic ◽  
Heterogeneous Cloud ◽  
Cloud Infrastructures

Cloud computing, with dependable, consistent, pervasive, and inexpensive access to geographically distributed computational capabilities, is becoming an increasingly popular platform for the execution of scientific applications such as scientific workflows. Scheduling multiple workflows over cloud infrastructures and resources is well recognized to be NP-hard and thus critical to meeting various types of Quality-of-Service (QoS) requirements. In this work, the authors consider a multi-objective scientific workflow scheduling framework based on the dynamic game-theoretic model. It aims at reducing make-spans, cloud cost, while maximizing system fairness in terms of workload distribution among heterogeneous cloud virtual machines (VMs). The authors consider randomly-generated scientific workflow templates as test cases and carry out extensive real-world tests based on third-party commercial clouds. Experimental results show that their proposed framework outperforms traditional ones by achieving lower make-spans, lower cost, and better system fairness.

A game-theoretic model for roadway performance management

2014 ◽  
Vol 4 (1) ◽  
pp. 40-54 ◽  
Author(s):  
Hesham Osman ◽  
Mazdak Nikbakht
Keyword(s):  
Asset Management ◽  
Decision Makers ◽  
Theoretic Model ◽  
Theoretic Approach ◽  
Political Decision ◽  
Content Type ◽  
Road Users ◽  
Game Theoretic ◽  
The Impact ◽  
Asset Managers

Purpose – The purpose of this paper is to present a socio-technical approach to modeling the behavior of roadway users, asset managers, and politicians toward roadway performance and asset management. This approach models the complex interactions that occur between these agents in a complex system. Most modeling approaches in the domain of infrastructure asset management take a purely asset-centric approach and fail to address these socio-technical interactions. Design/methodology/approach – Interactions among political decision makers, asset management strategy developers, and road users are modeled using a game-theoretic approach. The interactions are modeled as a non-cooperative game in which politicians, asset managers, and road users are the main players. Each player is autonomous and aims to come up with the set of moves to maximize their respective level of satisfaction in response to other players’ moves. Multi-attribute utility theory is used to deal with multitude of players’ goals, and the Nash equilibria of the game are south out to develop appropriate strategies for different players. Findings – An illustrative example for a road network of a Canadian city is used to demonstrate the developed methodology. The developed methodology demonstrates how behaviors of various agents involved in the sphere of asset management impacts their collective decision-making behavior. Originality/value – The developed framework provides asset managers and political decision makers with a valuable tool to evaluate the impact of public policy decisions related to asset managers on road performance and the overall satisfaction of road users.

The Impact of Ideology on Disinvestment Decisions of a Coalition

2016 ◽  
Vol 46 (5) ◽  
pp. 821-849
Author(s):  
Ritika Jain ◽  
Shubhro Sarkar
Keyword(s):  
The State ◽  
Theoretic Model ◽  
Two Stage ◽  
Game Theoretic ◽  
Stage Game ◽  
Game Theoretic Model ◽  
The Impact ◽  
Ideological Difference

We build a two-stage game theoretic model to capture the effect of ideologies of parties in a coalition on disinvestment decisions. We focus on three specific aspects of ideology—ideology score of the coalition, ideology dispersion of the coalition, and ideology difference between the center and the state where the enterprise is located. The benchmark two-party coalition predicts that a left government prefers less disinvestment than a right one more often than not. However, there may be a case where moving toward the left end of the ideology spectrum may raise disinvestment incidence. Similarly, a coalition with ideologically similar parties favors privatization more frequently than one in which parties are more diverse. However, for a narrow parametric range, the effect may be reversed. Low ideological difference between the center and the state in which the enterprise is located improves disinvestment incidence. Finally, we extend the model to three-party coalitions.

Hobbes's State of Nature: A Modern Bayesian Game-Theoretic Analysis

2015 ◽  
Vol 1 (3) ◽  
pp. 485-508 ◽  
Author(s):  
HUN CHUNG
Keyword(s):  
Game Theory ◽  
The State ◽  
The Other ◽  
Theoretic Model ◽  
Theoretic Analysis ◽  
Bayesian Game ◽  
Game Theoretic Analysis ◽  
State Of Nature ◽  
Game Theoretic ◽  
Game Theoretic Model

ABSTRACT:Hobbes's own justification for the existence of governments relies on the assumption that without a government our lives in the state of nature would result in a state of war of every man against every man. Many contemporary scholars have tried to explain why universal war is unavoidable in Hobbes's state of nature by utilizing modern game theory. However, most game-theoretic models that have been presented so far do not accurately capture what Hobbes deems to be the primary cause of conflict in the state of nature—namely, uncertainty, rather than people's egoistic psychology. Therefore, I claim that any game-theoretic model that does not incorporate uncertainty into the picture is the wrong model. In this paper, I use Bayesian game theory to show how universal conflict can break out in the state of nature—even when the majority of the population would strictly prefer to cooperate and seek peace with other people—due to uncertainty about what type of person the other player is. Along the way, I show that the valuation of one's own life is one of the central mechanisms that drives Hobbes's pessimistic conclusion.

Research on Organization Tacit Knowledge Transferring: An Evolutionary Game Theoretic Analysis

2013 ◽  
Vol 756-759 ◽  
pp. 2597-2601
Author(s):  
Dan Li
Keyword(s):  
Game Theory ◽  
Tacit Knowledge ◽  
Evolutionary Game Theory ◽  
Process Model ◽  
Evolutionary Game ◽  
Dynamic Game ◽  
Theoretic Analysis ◽  
Game Theoretic Analysis ◽  
Game Theoretic ◽  
The Stability

The transfer and the management of the tacit knowledge is one of the most important issues in the knowledge transferring context to create organizational competitive advantage in the fast growing competitive world. As we know, organization tacit knowledge transferring is a dynamic game process, this research applies evolutionary game theory to analyze the tacit knowledge transferring activities among organizations and the stability balance issue in organization knowledge transferring. Based on the theory of games, this paper constructs the evolutionary game process model for organization tacit knowledge transferring. And through the equilibrium point of the model, the different knowledge transferring bodies game replicated dynamics and stability are analyzed. With this model, the reason why tacit knowledge is hard to be transferred and the path of tacit knowledge transferring is analyzed.

New Game Paradigm for IoT Systems

2017 ◽  
pp. 101-147 ◽  
Keyword(s):  
Game Theory ◽  
Cognitive Science ◽  
Mental Representation ◽  
Cognitive Mechanisms ◽  
Markov Game ◽  
Inspection Game ◽  
New Directions ◽  
Behavioral Game ◽  
Game Theoretic ◽  
The Impact

Game theory is a mathematical language for describing strategic interactions, in which each player's choice affects the payoff of other players. The impact of game theory in psychology has been limited by the lack of cognitive mechanisms underlying game theoretic predictions. Behavioral game, inference game, inspection game and Markov game are recent approaches linking game theory to cognitive science by adding cognitive details, theories of limits on iterated thinking, and statistical theories of how players learn and influence others. These new directions include the effects of game descriptions on choice, strategic heuristics, and mental representation. These ideas will help root game theory more deeply in cognitive science and extend the scope of both enterprises.

Dynamic Game Theoretic Model of Multi-Layer Infrastructure Networks

2005 ◽  
Vol 5 (2) ◽  
pp. 147-178 ◽  
Author(s):  
PENGCHENG ZHANG ◽  
SRINIVAS PEETA ◽  
TERRY FRIESZ
Keyword(s):  
Dynamic Game ◽  
Theoretic Model ◽  
Infrastructure Networks ◽  
Game Theoretic ◽  
Game Theoretic Model
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