Shared Driving Control between Human and Autonomous Driving System via Conflict resolution using Non-Cooperative Game Theory

Five approaches in conflict resolution are distinguished, based on cooperativeness and aggressiveness in resolving conflict. Compromise based on cooperativeness is emphasized here as a solution in conflict resolution. Cooperative game theory oriented towards aiding the conflict resolution is considered and the compromise value for TU(transferable utility)-game is presented. The method VIKOR could be applied to determine compromise solution of a multicriteria decision making problem with noncommensurable and conflicting criteria. Compromise is considered as an intermediate state between conflicting objectives or criteria reached by mutual concession. The applicability of the cooperative game theory and the VIKOR method for conflict resolution is illustrated.

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A Cooperative Game Theory Approach for Usage and Reliability Margin Cost Allocation under Contingent Restructured Market

International Review of Electrical Engineering (IREE) ◽

10.15866/iree.v9i4.1977 ◽

2014 ◽

Vol 9 (4) ◽

pp. 854 ◽

Cited By ~ 1

Author(s):

Baseem Khan ◽

Ganga Agnihotri ◽

Pawan Rathore ◽

Anuprita Mishra ◽

Garima Naidu

Keyword(s):

Game Theory ◽

Cooperative Game ◽

Cooperative Game Theory ◽

Cost Allocation ◽

Theory Approach

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Affiliate Profit Allocation Based on Cooperative Game Theory in Liner Shipping Alliances

Journal of the Korean Society of Supply Chain Management ◽

10.25052/kscm.2020.05.20.1.67 ◽

2020 ◽

Vol 20 (1) ◽

pp. 67-75

Author(s):

Ki Ho Chung

Keyword(s):

Game Theory ◽

Cooperative Game ◽

Cooperative Game Theory ◽

Liner Shipping ◽

Profit Allocation

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Autonomy and Responsibility in Hybrid Systems

10.1093/oso/9780190652951.003.0003 ◽

2017 ◽

Cited By ~ 2

Author(s):

Wulf Loh ◽

Janina Loh

Keyword(s):

Hybrid Systems ◽

Hybrid System ◽

Moral Dilemma ◽

Autonomous Driving ◽

Shared Responsibility ◽

Driving System ◽

Autonomous Cars ◽

Self Driving Cars ◽

Trolley Cases ◽

Autonomous Driving System

In this chapter, we give a brief overview of the traditional notion of responsibility and introduce a concept of distributed responsibility within a responsibility network of engineers, driver, and autonomous driving system. In order to evaluate this concept, we explore the notion of man–machine hybrid systems with regard to self-driving cars and conclude that the unit comprising the car and the operator/driver consists of such a hybrid system that can assume a shared responsibility different from the responsibility of other actors in the responsibility network. Discussing certain moral dilemma situations that are structured much like trolley cases, we deduce that as long as there is something like a driver in autonomous cars as part of the hybrid system, she will have to bear the responsibility for making the morally relevant decisions that are not covered by traffic rules.

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Modelling utility-aggregator-customer interactions in interruptible load programmes using non-cooperative game theory

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2021.107183 ◽

2021 ◽

Vol 133 ◽

pp. 107183

Author(s):

Soheil Mohseni ◽

Alan C. Brent ◽

Scott Kelly ◽

Will N. Browne ◽

Daniel Burmester

Keyword(s):

Game Theory ◽

Cooperative Game ◽

Cooperative Game Theory ◽

Interruptible Load

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A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving System: Safe Speed Choice in the Interaction With Distracted Pedestrians

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2021.3086397 ◽

2021 ◽

pp. 1-18

Author(s):

Gastone Pietro Rosati Papini ◽

Alice Plebe ◽

Mauro Da Lio ◽

Riccardo Dona

Keyword(s):

Reinforcement Learning ◽

Autonomous Driving ◽

Learning Approach ◽

Driving System ◽

Autonomous Driving System

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Grid Cyber-Physical System Risk Management Model Based on Cooperative Game Theory

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2019-0190 ◽

2020 ◽

Vol 21 (1) ◽

Author(s):

Cunbin Li ◽

Ding Liu ◽

Yi Wang ◽

Chunyan Liang

Keyword(s):

Game Theory ◽

Risk Management ◽

Cooperative Game ◽

Physical System ◽

Cooperative Game Theory ◽

Power Grid ◽

Management Model ◽

Cyber Physical System ◽

Model Based ◽

Generation Power

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.

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