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Exogenous Rewards for Promoting Cooperation in Scale-Free Networks
The design of mechanisms that encourage pro-social behaviours in populations of self-regarding agents is recognised as a major theoretical challenge within several areas of social, life and engineering sciences.
Clustering
Computer Science and Game Theory
Multiagent Systems
Social and Information Networks
Theoretical Economics
Physics and Society
To regulate or not: a social dynamics analysis of the race for AI supremacy
As a consequence, different actors are urging to consider both the normative and social impact of these technological advancements.
When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games
We argue that this cost is likely to be greater when the interaction is between people and intelligent agents, because of the reduced transparency of the agent.
Evolution of Coordination in Pairwise and Multi-player Interactions via Prior Commitments
Our analysis, both analytically and via numerical simulations, shows that whether prior commitment would be a viable evolutionary mechanism for enhancing coordination and the overall population social welfare strongly depends on the collective benefit and severity of competition, and more importantly, how asymmetric benefits are resolved in a commitment deal.
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.
Artificial Intelligence Development Races in Heterogeneous Settings
Regulation of advanced technologies such as Artificial Intelligence (AI) has become increasingly important, given the associated risks and apparent ethical issues.
Voluntary safety commitments provide an escape from over-regulation in AI development
With the introduction of Artificial Intelligence (AI) and related technologies in our daily lives, fear and anxiety about their misuse as well as the hidden biases in their creation have led to a demand for regulation to address such issues.
Statistics of the number of equilibria in random social dilemma evolutionary games with mutation
In this paper, we study analytically the statistics of the number of equilibria in pairwise social dilemma evolutionary games with mutation where a game's payoff entries are random variables.
Understanding Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory
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-presence, have been undergoing mathematical study via Evolutionary Game Theory (EGT).
Social Diversity Reduces the Complexity and Cost of Fostering Fairness
Institutions and investors are constantly faced with the challenge of appropriately distributing endowments.
Co-evolution of Social and Non-Social Guilt
Resorting to methods from evolutionary game theory, we study analytically, and through extensive numerical and agent-based simulations, whether and how such social and non-social guilt can evolve and deploy, depending on the underlying structure of the populations, or systems, of agents.
Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety
These 'Bounty Incentives' only reward private regulators for catching unsafe behaviour.
Discriminatory or Samaritan -- which AI is needed for humanity? An Evolutionary Game Theory Analysis of Hybrid Human-AI populations
As artificial intelligence (AI) systems are increasingly embedded in our lives, their presence leads to interactions that shape our behaviour, decision-making, and social interactions.
Words are not Wind -- How Joint Commitment and Reputation Solve Social Dilemmas, without Repeated Interactions or Enforcement by Third Parties
However, when we are tempted to free-ride (i. e. in social dilemmas), commitment serves no obvious purpose.
Evolutionary game theory: the mathematics of evolution and collective behaviours
This brief discusses evolutionary game theory as a powerful and unified mathematical tool to study evolution of collective behaviours.
Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation
We then consider an alternative solution, where users can condition their trust decision on the effectiveness of the regulators.
