AIMC Topic: Punishment
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The Influence of Robots' Fairness on Humans' Reward-Punishment Behaviors and Trust in Human-Robot Cooperative Teams.
Human factors
Oct 11, 2022
OBJECTIVE: Based on social exchange theory, this study investigates the effects of robots' fairness and social status on humans' reward-punishment behaviors and trust in human-robot interactions.
Mathematical foundations of moral preferences.
Journal of the Royal Society, Interface
Feb 10, 2021
One-shot anonymous unselfishness in economic games is commonly explained by social preferences, which assume that people care about the monetary pay-offs of others. However, during the last 10 years, research has shown that different types of unselfi...
Mediating artificial intelligence developments through negative and positive incentives.
PloS one
Jan 26, 2021
The field of Artificial Intelligence (AI) is going through a period of great expectations, introducing a certain level of anxiety in research, business and also policy. This anxiety is further energised by an AI race narrative that makes people belie...
Modular deep reinforcement learning from reward and punishment for robot navigation.
Neural networks : the official journal of the International Neural Network Society
Dec 8, 2020
Modular Reinforcement Learning decomposes a monolithic task into several tasks with sub-goals and learns each one in parallel to solve the original problem. Such learning patterns can be traced in the brains of animals. Recent evidence in neuroscienc...
Resting-State Functional Connectivity Underlying Costly Punishment: A Machine-Learning Approach.
Neuroscience
Jun 8, 2018
A large number of studies have demonstrated costly punishment to unfair events across human societies. However, individuals exhibit a large heterogeneity in costly punishment decisions, whereas the neuropsychological substrates underlying the heterog...
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