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 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 Negotiation Decision Support Systems: Analysing Negotiations under the Conditions of Risk

2009 ◽  
Vol 4 (3) ◽  
Author(s):  
Nipun Agarwal
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Prospect Theory ◽  
Support Systems ◽  
Research Area ◽  
Negotiation Theory ◽  
Technology Tool ◽  
Theory Research

Negotiation Theory is a research area with emphasis from three different research streams being game theory, psychology and negotiation analysis. Recently, negotiation theory research has moved towards the combination of game theory and psychology negotiation theory models that could be called Integrated Negotiation Theory (INT). As, negotiations are often impacted by external factors, there is risk associated with achieving the expected outcomes. Prospect theory and Negotiation theory are combined in this paper to incorporate the risk associated within negotiations. Negotiation Decision Support Systems (NDSS) is an information technology tool using negotiation theory and artificial intelligence to assist disputants in a negotiation to obtain better negotiated outcomes than they can obtain otherwise. Due primarily to the limitations of bounded rationality and differing mental or physical state of the disputant. In the past, NDSS have primarily used game theory within their negotiation and decision making framework to assist disputants resolve negotiations, as game theory is easier to incorporate. This paper shows how INT and Risk Factors (Prospect Theory) can be incorporated into an NDSS to improve negotiation decision making.

Information support for expert evaluation of the states of the external environment

2020 ◽  
pp. 71-76
Author(s):  
Rasol Murtadha Najah
Keyword(s):  
Decision Making ◽  
Environmental Conditions ◽  
Fuzzy Inference ◽  
Environmental Parameters ◽  
Information Support ◽  
Expert Assessment ◽  
Fuzzy Variables ◽  
Decision Making Models ◽  
The Difference ◽  
State Of The Environment

This article discusses the application of methods to enhance the knowledge of experts to build a decision-making model based on the processing of physical data on the real state of the environment. Environmental parameters determine its ecological state. To carry out research in the field of expert assessment of environmental conditions, the analysis of known works in this field is carried out. The results of the analysis made it possible to justify the relevance of the application of analytical, stochastic models and models based on methods of enhancing the knowledge of experts — experts. It is concluded that the results of using analytical and stochastic objects are inaccurate, due to the complexity and poor mathematical description of the objects. The relevance of developing information support for an expert assessment of environmental conditions is substantiated. The difference of this article is that based on the analysis of the application of expert methods for assessing the state of the environment, a fuzzy logic adoption model and information support for assessing the environmental state of the environment are proposed. The formalization of the parameters of decision-making models using linguistic and fuzzy variables is considered. The formalization of parameters of decision-making models using linguistic and fuzzy variables was considered. The model’s description of fuzzy inference is given. The use of information support for environment state assessment is shown on the example of experts assessing of the land desertification stage.

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