Search Results for author: Francisco C. Santos

Found 11 papers, 0 papers with code

Learning Collective Action under Risk Diversity

no code implementations30 Jan 2022 Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Mohamed Chetouani, Francisco C. Santos

In this paper we investigate the consequences of risk diversity in groups of agents learning to play CRDs.

Signalling boosts the evolution of cooperation in repeated group interactions

no code implementations13 Apr 2021 Luis A. Martinez-Vaquero, Francisco C. Santos, Vito Trianni

In the light of these results, it may be easier to understand why direct reciprocity has been observed only in a limited number of cases among non-humans, whereas signalling is widespread at all levels of complexity.

Voluntary safety commitments provide an escape from over-regulation in AI development

no code implementations8 Apr 2021 The Anh Han, Tom Lenaerts, Francisco C. Santos, Luis Moniz Pereira

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.

Evolution of collective fairness in complex networks through degree-based role assignment

no code implementations26 Feb 2021 Andreia Sofia Teixeira, Francisco C. Santos, Alexandre P. Francisco, Fernando P. Santos

We focus on network-based role assignment and show that preferentially attributing the role of Proposer to low-connected nodes increases the fairness levels in a population.

Fairness Physics and Society Computer Science and Game Theory

Artificial Intelligence Development Races in Heterogeneous Settings

no code implementations30 Dec 2020 Theodor Cimpeanu, Francisco C. Santos, Luis Moniz Pereira, Tom Lenaerts, The Anh Han

Regulation of advanced technologies such as Artificial Intelligence (AI) has become increasingly important, given the associated risks and apparent ethical issues.

Mediating Artificial Intelligence Developments through Negative and Positive Incentives

no code implementations1 Oct 2020 The Anh Han, Luis Moniz Pereira, Tom Lenaerts, Francisco C. Santos

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.

Navigating the Landscape of Multiplayer Games

no code implementations4 May 2020 Shayegan Omidshafiei, Karl Tuyls, Wojciech M. Czarnecki, Francisco C. Santos, Mark Rowland, Jerome Connor, Daniel Hennes, Paul Muller, Julien Perolat, Bart De Vylder, Audrunas Gruslys, Remi Munos

Multiplayer games have long been used as testbeds in artificial intelligence research, aptly referred to as the Drosophila of artificial intelligence.

Counterfactual thinking in cooperation dynamics

no code implementations18 Dec 2019 Luis Moniz Pereira, Francisco C. Santos

Given the wide cognitive empowerment of counterfactual reasoning in the human individual, the question arises of how the presence of individuals with this capability may improve cooperation in populations of self-regarding individuals.

To regulate or not: a social dynamics analysis of the race for AI supremacy

no code implementations26 Jul 2019 The Anh Han, Luis Moniz Pereira, Francisco C. Santos, Tom Lenaerts

As a consequence, different actors are urging to consider both the normative and social impact of these technological advancements.

Norms for Beneficial A.I.: A Computational Analysis of the Societal Value Alignment Problem

no code implementations26 Jun 2019 Pedro Fernandes, Francisco C. Santos, Manuel Lopes

systems following human conscious policies that, when introduced in society, lead to an equilibrium where the gains for the adopters are not at a cost for non-adopters, thus increasing the overall wealth of the population and lowering inequality.

Exogenous Rewards for Promoting Cooperation in Scale-Free Networks

no code implementations13 May 2019 Theodor Cimpeanu, The Anh Han, Francisco C. Santos

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.

Computer Science and Game Theory Multiagent Systems Social and Information Networks Theoretical Economics Physics and Society

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