Search Results for author: João Dias

Found 8 papers, 1 papers with code

GAN-Based Content Generation of Maps for Strategy Games

no code implementations7 Jan 2023 Vasco Nunes, João Dias, Pedro A. Santos

Maps are a very important component of strategy games, and a time-consuming task if done by hand.

Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit

no code implementations7 Jun 2022 Manuel Guimarães, Joana Campos, Pedro A. Santos, João Dias, Rui Prada

In this paper we introduce the concept of Explainable Social Agent Authoring Tools with the goal of analysing if authoring tools for social agents are understandable and interpretable.

Semantic Norm Recognition and its application to Portuguese Law

no code implementations10 Mar 2022 Maria Duarte, Pedro A. Santos, João Dias, Jorge Baptista

Being able to clearly interpret legal texts and fully understanding our rights, obligations and other legal norms has become progressively more important in the digital society.

Information Retrieval Retrieval

State of the Art in Artificial Intelligence applied to the Legal Domain

no code implementations10 Mar 2022 João Dias, Pedro A. Santos, Nuno Cordeiro, Ana Antunes, Bruno Martins, Jorge Baptista, Carlos Gonçalves

While Artificial Intelligence applied to the legal domain is a topic with origins in the last century, recent advances in Artificial Intelligence are posed to revolutionize it.

FAtiMA Toolkit -- Toward an effective and accessible tool for the development of intelligent virtual agents and social robots

no code implementations4 Mar 2021 Samuel Mascarenhas, Manuel Guimarães, Pedro A. Santos, João Dias, Rui Prada, Ana Paiva

More than a decade has passed since the development of FearNot!, an application designed to help children deal with bullying through role-playing with virtual characters.

Decision Making Multiagent Systems Human-Computer Interaction Robotics

CHARET: Character-centered Approach to Emotion Tracking in Stories

no code implementations15 Feb 2021 Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias, Pedro A. Santos

Autonomous agents that can engage in social interactions witha human is the ultimate goal of a myriad of applications.

Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning

1 code implementation22 Sep 2019 João Ribeiro, Francisco S. Melo, João Dias

The first hypothesis is driven by the question of whether a deep reinforcement learning algorithm, trained on two similar tasks, is able to outperform two single-task, individually trained algorithms, by more efficiently learning a new, similar task, that none of the three algorithms has encountered before.

Continual Learning Multi-Task Learning +2

Dynamic Social Interaction Mechanics CrossAnt

no code implementations17 Nov 2018 Samuel Gomes, Carlos Martinho, João Dias

This work focuses on the application of game mechanics to lead players to achieve certain types of social interaction (we named this type of mechanics social interaction mechanics).

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