activity
20032023
most citedMediating Artificial Intelligence Developments through Negative and Positive Incentives

61 citations · 102 across the 11 of their papers we have counts for

collaborators

11 papers

cs.MA2023

The evolutionary advantage of guilt: co-evolution of social and non-social guilt in structured populations

Theodor Cimpeanu, Luis Moniz Pereira, The Anh Han

Building ethical machines may involve bestowing upon them the emotional capacity to self-evaluate and repent on their actions. While apologies represent potential strategic interac…

cs.AI2021

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

The Anh Han, Tom Lenaerts, Francisco C. Santos +1

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 creatio…

cs.AI2020

Artificial Intelligence Development Races in Heterogeneous Settings

Theodor Cimpeanu, Francisco C. Santos, Luis Moniz Pereira +2

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

cs.AI2020★ 61 cited

Mediating Artificial Intelligence Developments through Negative and Positive Incentives

The Anh Han, Luis Moniz Pereira, Tom Lenaerts +1

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 anxiet…

cs.AI2019★ 8 cited

Counterfactual thinking in cooperation dynamics

Luis Moniz Pereira, Francisco C. Santos

Counterfactual Thinking is a human cognitive ability studied in a wide variety of domains. It captures the process of reasoning about a past event that did not occur, namely what w…

cs.CY2019★ 3 cited

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

The Anh Han, Luis Moniz Pereira, Francisco C. Santos +1

Rapid technological advancements in AI as well as the growing deployment of intelligent technologies in new application domains are currently driving the competition between busine…

cs.AI2014★ 18 cited

Contextual Abductive Reasoning with Side-Effects

Luís Moniz Pereira, Emmanuelle-Anna Dietz, Steffen Hölldobler

The belief bias effect is a phenomenon which occurs when we think that we judge an argument based on our reasoning, but are actually influenced by our beliefs and prior knowledge.…

cs.AI2014

Properties of Stable Model Semantics Extensions

Mário Abrantes, Luís Moniz Pereira

The stable model (SM) semantics lacks the properties of existence, relevance and cumulativity. If we prospectively consider the class of conservative extensions of SM semantics (i.…

cs.AI2014★ 5 cited

Joint Tabling of Logic Program Abductions and Updates

Ari Saptawijaya, Luís Moniz Pereira

Abductive logic programs offer a formalism to declaratively represent and reason about problems in a variety of areas: diagnosis, decision making, hypothetical reasoning, etc. On t…

cs.LO2011★ 7 cited

Each normal logic program has a 2-valued Minimal Hypotheses semantics

Alexandre Miguel Pinto, Luś Moniz Pereira

In this paper we explore a unifying approach --- that of hypotheses assumption --- as a means to provide a semantics for all Normal Logic Programs (NLPs), the Minimal Hypotheses (M…

cs.LO2003

Abduction in Well-Founded Semantics and Generalized Stable Models

José Júlio Alferes, Luís Moniz Pereira, Terrance Swift

Abductive logic programming offers a formalism to declaratively express and solve problems in areas such as diagnosis, planning, belief revision and hypothetical reasoning. Tabled…