scholarly journals Cooperating for added value: Using participatory game theory in implementing nature-based flood defences

2022 ◽  
Vol 176 ◽  
pp. 106507
Author(s):  
Heleen Vreugdenhil ◽  
Stephanie Janssen ◽  
Leon Hermans ◽  
Jill Slinger
Keyword(s):  
Game Theory ◽  
Added Value

scholarly journals Human-Machine Cooperative Decision Making Outperforms Individualism and Autonomy

2021 ◽  
Author(s):  
Simon Rothfuß ◽  
Maximilian Wörner ◽  
Jairo Inga ◽  
Andrea Kiesel ◽  
Sören Hohmann
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Experimental Design ◽  
Experimental Evaluation ◽  
Added Value ◽  
Negotiation Theory ◽  
Decision Level ◽  
Decision Making Models ◽  
Cooperation Partners ◽  
Cooperative Decision Making

<div>The experiment reported in this paper provides a first experimental evaluation of human-machine cooperation on decision level: It explicitly focuses on the interaction of human and machine in cooperative decision making situations for which a suitable experimental design is introduced. Furthermore, it challenges conventional leader-follower approaches by comparing them to newly proposed automation designs based on cooperative decision making models. These models originate from negotiation theory and game theory and allow for an investigation of cooperative decision making between equal partners. This equality is motivated by similar approaches on the action level of human-machine cooperation. <br></div><div>The experiment’s results indicate an added value of the proposed automation designs in terms of objective cooperative performance as well as human trust in and satisfaction with the cooperation. Hence, the experiment yields the same insight on decision level as already observed on action level: it may be beneficial to design machines as equal cooperation partners and in accordance to models of emancipated human-machine cooperation.</div>

scholarly journals Pricing in Information Orchestrators and Maximizing Stable Networks

2019 ◽  
Vol 21 (03) ◽  
pp. 1850013
Author(s):  
Bernardo C. Lustosa ◽  
Alberto L. Albertin ◽  
Fernando Moreira
Keyword(s):  
Game Theory ◽  
Nash Equilibrium ◽  
Information Exchange ◽  
Added Value ◽  
Innovation Networks ◽  
Network Stability ◽  
Financial Benefit ◽  
Equilibrium Conditions ◽  
Rational Agents ◽  
Pricing Options

In innovation networks based on information exchange, an orchestrating actor, or hub, captures information from peripheral actors, promotes innovation and then distributes it to the network in the form of added value. This paper identifies the pricing options proposed by the orchestrating hub that would result in the network’s stability and efficiency. Since all the companies in this ecosystem can be seen as rational agents, game theory is an appropriate framework for studying pricing as a mechanism to promote network stability. We analyze the equilibrium conditions in this context and conclude that the Nash equilibrium entails the network’s stability. Our findings indicate that, in order to maximize the innovation power of the network, the agents should be charged a price proportional to the financial benefit obtained by the net innovation. This study fills relevant gaps in the literature on monopolistic orchestrated innovation and the pricing structures of network connections.

scholarly journals Economic analysis of implementing VMI model using game theory

2019 ◽  
Vol 10 (2) ◽  
pp. 253-272 ◽  
Author(s):  
Vojtěch Stehel ◽  
Marek Vochozka ◽  
Tomas Kliestik ◽  
Vladimir Bakes
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Value Added ◽  
Point Of View ◽  
Added Value ◽  
Theory Approach ◽  
The Matrix ◽  
Comprehensive Picture ◽  
The Individual

Research background: The article deals with implementing VMI between the supplier and customer. To assess whether the system will be implemented, the evolution game theory is used. The contribution is based on the limitations of the study of the evolutionary game theory approach to modelling VMI policies (Torres et al., 2014) and its later extension, The evolutionary game theory approach to modelling VMI policies (Torres & García-Díaz, 2018). It aims is to complement the studies and provide a comprehensive picture of the issue. Purpose of the article: The main objective of the contribution is to respond to the question whether the VMI system will be introduced between the supplier and customer. Methods: In the first phase, the matrix is analysed from the point of view of the game meaning and its limit parameters. The limit parameters are set taking into account the economic reality. The only examined states of the matrix are those where the result is not obvious. For the purposes of the contribution, we work with a 5-year period. A new software capable of calculating evolutionary focus and their stability is created. Sensitivity analysis is carried out for the individual parameters that affect the system behaviour. Findings & Value added: Value added is a complex description of the system and complementation of previous studies in this field. VMI is confirmed. The results obtained can be used for practical management, so that the managers are able to identify what the actual costs are and what the probability of introducing the sys-tem is. At the same time, they can identify the parameters that can be influenced by them and observe their impact on the shift of the system introduction probability.

scholarly journals Human-Machine Cooperative Decision Making Outperforms Individualism and Autonomy

2021 ◽  
Author(s):  
Simon Rothfuß ◽  
Maximilian Wörner ◽  
Jairo Inga ◽  
Andrea Kiesel ◽  
Sören Hohmann
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Experimental Design ◽  
Experimental Evaluation ◽  
Added Value ◽  
Negotiation Theory ◽  
Decision Level ◽  
Decision Making Models ◽  
Cooperation Partners ◽  
Cooperative Decision Making

<div>The experiment reported in this paper provides a first experimental evaluation of human-machine cooperation on decision level: It explicitly focuses on the interaction of human and machine in cooperative decision making situations for which a suitable experimental design is introduced. Furthermore, it challenges conventional leader-follower approaches by comparing them to newly proposed automation designs based on cooperative decision making models. These models originate from negotiation theory and game theory and allow for an investigation of cooperative decision making between equal partners. This equality is motivated by similar approaches on the action level of human-machine cooperation. <br></div><div>The experiment’s results indicate an added value of the proposed automation designs in terms of objective cooperative performance as well as human trust in and satisfaction with the cooperation. Hence, the experiment yields the same insight on decision level as already observed on action level: it may be beneficial to design machines as equal cooperation partners and in accordance to models of emancipated human-machine cooperation.</div>

The Added Value of Graphical Input and Display for Electron Lens Design

1990 ◽  
Vol 48 (1) ◽  
pp. 190-191
Author(s):  
B. Lencova ◽  
G. Wisselink
Keyword(s):  
Flux Density ◽  
Numerical Data ◽  
Added Value ◽  
Lens Design ◽  
Step Size ◽  
Magnetic Lens ◽  
Flux Lines ◽  
Fine Mesh ◽  
Electron Lens ◽  
User Friendly

Recent progress in computer technology enables the calculation of lens fields and focal properties on commonly available computers such as IBM ATs. If we add to this the use of graphics, we greatly increase the applicability of design programs for electron lenses. Most programs for field computation are based on the finite element method (FEM). They are written in Fortran 77, so that they are easily transferred from PCs to larger machines.The design process has recently been made significantly more user friendly by adding input programs written in Turbo Pascal, which allows a flexible implementation of computer graphics. The input programs have not only menu driven input and modification of numerical data, but also graphics editing of the data. The input programs create files which are subsequently read by the Fortran programs. From the main menu of our magnetic lens design program, further options are chosen by using function keys or numbers. Some options (lens initialization and setting, fine mesh, current densities, etc.) open other menus where computation parameters can be set or numerical data can be entered with the help of a simple line editor. The "draw lens" option enables graphical editing of the mesh - see fig. I. The geometry of the electron lens is specified in terms of coordinates and indices of a coarse quadrilateral mesh. In this mesh, the fine mesh with smoothly changing step size is calculated by an automeshing procedure. The options shown in fig. 1 allow modification of the number of coarse mesh lines, change of coordinates of mesh points or lines, and specification of lens parts. Interactive and graphical modification of the fine mesh can be called from the fine mesh menu. Finally, the lens computation can be called. Our FEM program allows up to 8000 mesh points on an AT computer. Another menu allows the display of computed results stored in output files and graphical display of axial flux density, flux density in magnetic parts, and the flux lines in magnetic lenses - see fig. 2. A series of several lens excitations with user specified or default magnetization curves can be calculated and displayed in one session.

Preliminary Findings on the Use of Session Questionnaires to Improve Clinician-Client Alliance With Special Consideration to Clinical Education

2015 ◽  
Vol 25 (1) ◽  
pp. 50-60
Author(s):  
Anu Subramanian
Keyword(s):  
Graduate Students ◽  
Clinical Education ◽  
Clinical Decision Making ◽  
Rating Scale ◽  
Treatment Effectiveness ◽  
Clinical Decision ◽  
Added Value ◽  
Therapeutic Outcomes ◽  
Specific Feedback ◽  
Stakeholder Perspective

ASHA's focus on evidence-based practice (EBP) includes the family/stakeholder perspective as an important tenet in clinical decision making. The common factors model for treatment effectiveness postulates that clinician-client alliance positively impacts therapeutic outcomes and may be the most important factor for success. One strategy to improve alliance between a client and clinician is the use of outcome questionnaires. In the current study, eight parents of toddlers who attended therapy sessions at a university clinic responded to a session outcome questionnaire that included both rating scale and descriptive questions. Six graduate students completed a survey that included a question about the utility of the questionnaire. Results indicated that the descriptive questions added value and information compared to using only the rating scale. The students were varied in their responses regarding the effectiveness of the questionnaire to increase their comfort with parents. Information gathered from the questionnaire allowed for specific feedback to graduate students to change behaviors and created opportunities for general discussions regarding effective therapy techniques. In addition, the responses generated conversations between the client and clinician focused on clients' concerns. Involving the stakeholder in identifying both effective and ineffective aspects of therapy has advantages for clinical practice and education.

Insights into Game Theory

2008 ◽  
Author(s):  
Ein-Ya Gura ◽  
Michael Maschler
Keyword(s):  
Game Theory
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