activity
20182022
most citedNorm Identification through Plan Recognition

11 citations · 12 across the 4 of their papers we have counts for

collaborators

7 papers

cs.AI2022

Utility Functions for Human/Robot Interaction

Bruno Yun, Nir Oren, Madalina Croitoru

In this paper, we place ourselves in the context of human robot interaction and address the problem of cognitive robot modelling. More precisely we are investigating properties of…

cs.AI2022

Analytical Solutions for the Inverse Problem within Gradual Semantics

Nir Oren, Bruno Yun, Assaf Libman +1

Gradual semantics within abstract argumentation associate a numeric score with every argument in a system, which represents the level of acceptability of this argument, and from wh…

cs.AI20221 cited

The Inverse Problem for Argumentation Gradual Semantics

Nir Oren, Bruno Yun, Srdjan Vesic +1

Gradual semantics with abstract argumentation provide each argument with a score reflecting its acceptability, i.e. how "much" it is attacked by other arguments. Many different gra…

cs.AI202011 cited

Norm Identification through Plan Recognition

Nir Oren, Felipe Meneguzzi

Societal rules, as exemplified by norms, aim to provide a degree of behavioural stability to multi-agent societies. Norms regulate a society using the deontic concepts of permissio…

cs.AI2019

Landmark-Based Approaches for Goal Recognition as Planning

Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi

The task of recognizing goals and plans from missing and full observations can be done efficiently by using automated planning techniques. In many applications, it is important to…

cs.AI2019

Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments

Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi

Assessing whether an agent has abandoned a goal or is actively pursuing it is important when multiple agents are trying to achieve joint goals, or when agents commit to achieving g…