When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games
The actions of intelligent agents, such as chatbots, recommender systems, and virtual
assistants are typically not fully transparent to the user. Consequently, users take the risk …
assistants are typically not fully transparent to the user. Consequently, users take the risk …
Mediating artificial intelligence developments through negative and positive incentives
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 …
introducing a certain level of anxiety in research, business and also policy. This anxiety is …
Modelling and influencing the AI bidding war: a research agenda
A race for technological supremacy in AI could lead to serious negative consequences,
especially whenever ethical and safety procedures are underestimated or even ignored …
especially whenever ethical and safety procedures are underestimated or even ignored …
Two is better than one: Apologies from two robots are preferred
Although the capabilities of service robots are increasing, avoiding any mistakes is difficult.
Therefore, strategies for mitigating mistakes, such as apology behavior designs, are …
Therefore, strategies for mitigating mistakes, such as apology behavior designs, are …
Evolution of commitment and level of participation in public goods games
Before engaging in a group venture agents may require commitments from other members
in the group, and based on the level of acceptance (participation) they can then decide …
in the group, and based on the level of acceptance (participation) they can then decide …
Good agreements make good friends
When starting a new collaborative endeavor, it pays to establish upfront how strongly your
partner commits to the common goal and what compensation can be expected in case the …
partner commits to the common goal and what compensation can be expected in case the …
Emergent behaviours in multi-agent systems with Evolutionary Game Theory.
SV Albrecht, M Woolridge - AI Communications, 2022 - search.ebscohost.com
The mechanisms of emergence and evolution of collective behaviours in dynamical Multi-
Agent Systems (MAS) of multiple interacting agents, with diverse behavioral strategies in co …
Agent Systems (MAS) of multiple interacting agents, with diverse behavioral strategies in co …
[PDF][PDF] Social Manifestation of Guilt Leads to Stable Cooperation in Multi-Agent Systems.
Inspired by psychological and evolutionary studies, we present here theoretical models
wherein agents have the potential to express guilt with the ambition to study the role of this …
wherein agents have the potential to express guilt with the ambition to study the role of this …
A synergy of costly punishment and commitment in cooperation dilemmas
TA Han, T Lenaerts - Adaptive Behavior, 2016 - journals.sagepub.com
To ensure cooperation in the Prisoner's Dilemma, individuals may require prior
commitments from others, subject to compensations when agreements to cooperate are …
commitments from others, subject to compensations when agreements to cooperate are …
The evolution of guilt: A model-based approach
C O'Connor - Philosophy of Science, 2016 - cambridge.org
The Evolution of Guilt: A Model-Based Approach Page 1 The Evolution of Guilt: A Model-Based
Approach Cailin O’Connor*y Using evolutionary game theory, I consider how guilt can provide …
Approach Cailin O’Connor*y Using evolutionary game theory, I consider how guilt can provide …