Dynamic trust game model between venture capitalists and entrepreneurs based on reinforcement learning theory

2018 ◽  
Vol 22 (S3) ◽  
pp. 5893-5904 ◽  
Author(s):  
Li Haiyan
Keyword(s):  
Reinforcement Learning ◽  
Learning Theory ◽  
Trust Game ◽  
Game Model ◽  
Venture Capitalists ◽  
Dynamic Trust

scholarly journals A Study on Trust Construction in University Research Team

2011 ◽  
Vol 2 (2) ◽  
pp. 38
Author(s):  
Liu Guoxin ◽  
Yan Junzhou
Keyword(s):  
Research Team ◽  
Rapid Development ◽  
Repeated Game ◽  
University Research ◽  
Trust Game ◽  
Game Model ◽  
Trust Mechanism ◽  
Team Members ◽  
Countermeasures And Suggestions ◽  
The University

University research team, as a special form of organizations in university, is a characteristic feature of contemporaneity science.it has a rapid development in recent years. But the trust is playing a very important role in research team’s development. The paper analyzes the trust construction of research team by establish one-shot and repeated trust game models, and based on this, establishes the trust game model with university intervention. The conclusion shows that the trust mechanism will not be constructed by one-shot game. While it can be constructed by repeated game, but its trust mechanism is not stable. With the university intervation, the team members will change their behavior and increase the trust probability, and it will be easily construct trust in university research team. According to the above analysis, the paper presents some countermeasures and suggestions to promote trust construction in university research team.

Study on Trust Model of Internetware System

2015 ◽  
Vol 713-715 ◽  
pp. 2486-2490
Author(s):  
Tao He ◽  
Yong Wei ◽  
Hua Zhong Li ◽  
Li Na Fang ◽  
Shou Xiang Xu ◽  
...  
Keyword(s):  
Time Frame ◽  
Trust Model ◽  
Game Model ◽  
Measurement Results ◽  
Dynamic Trust ◽  
On Line ◽  
Weighted Factor ◽  
Trust Metric ◽  
Trust Measurement ◽  
Metric Model

We take the overall architecture of internetware on-line evolution model as basic, and study on trust metric model of the software in internetware system. In view of the not accurate results from the rough and existing trust metric model granularity, this paper proposed a multi service and hierarchical dynamic trust metric model based on time frame. Model also offer a method to established time frame weighted factor based on inducing ordered weighted operator, which makes the trust measurement results more accurate. The trust measurement results obtained from the model will be used as decision-making basis for Bias game model.

scholarly journals Multistage Effort and the Equity Structure of Venture Investment Based on Reciprocity Motivation

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Chuan Ding ◽  
Jiacheng Chen ◽  
Xin Liu ◽  
Junjun Zheng
Keyword(s):  
Cooperative Game ◽  
Decision Makers ◽  
Game Model ◽  
Venture Capitalists ◽  
Simulation Studies ◽  
Pareto Improvement ◽  
Equity Structure ◽  
Effort Level ◽  
Venture Investment ◽  
Cooperative Game Model

For venture capitals, it is a long process from an entry to its exit. In this paper, the activity of venture investment will be divided into multistages. And, according to the effort level entrepreneurs will choose, the venture capitalists will provide an equity structure at the very beginning. As a benchmark for comparison, we will establish two game models on multistage investment under perfect rationality: a cooperative game model and a noncooperative one. Further, as a cause of pervasive psychological preference behavior, reciprocity motivation will influence the behavior of the decision-makers. Given this situation, Rabin’s reciprocity motivation theory will be applied to the multistage game model of the venture investment, and multistage behavior game model will be established as well, based on the reciprocity motivation. By looking into the theoretical derivations and simulation studies, we find that if venture capitalists and entrepreneurs both have reciprocity preferences, their utility would have been Pareto improvement compared with those under perfect rationality.

scholarly journals An integrated homeostatic reinforcement learning theory of motivation explains the transition to cocaine addiction

2015 ◽  
Author(s):  
Mehdi Keramati ◽  
Audrey Durand ◽  
Paul Girardeau ◽  
Boris Gutkin ◽  
Serge Ahmed
Keyword(s):  
Reinforcement Learning ◽  
Learning Theory ◽  
Drugs Of Abuse ◽  
Learning System ◽  
Regulation Mechanism ◽  
Homeostatic Regulation ◽  
Drug Seeking ◽  
Corrective Effect ◽  
Regulation Mechanisms ◽  
Intake Regulation

Drugs of abuse implicate both reward learning and homeostatic regulation mechanisms of the brain. Theories of addiction, thus, have mostly depicted this phenomenon as pathology in either habit-based learning system or homeostatic mechanisms. Showing the limits of those accounts, we hypothesize that compulsive drug seeking arises from drugs hijacking a system that integrates homeostatic regulation mechanism with goal-directed action/behavior. Building upon a recently developed homeostatic reinforcement learning theory, we present a computational theory proposing that cocaine reinforces goal-directed drug-seeking due to its rapid homeostatic corrective effect, whereas its chronic use induces slow and long-lasting changes in homeostatic setpoint. Our theory accounts for key behavioral and neurobiological features of addiction, most notably, escalation of cocaine use, drug-primed craving and relapse, and individual differences underlying susceptibility to addiction. The theory also generates unique predictions about the mechanisms of cocaine-intake regulation and about cocaine-primed craving and relapse that are confirmed by new experiments.

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