10 citations · 23 across the 11 of their papers we have counts for
13 papers
Temporally Extended Goal Recognition in Fully Observable Non-Deterministic Domain Models
Ramon Fraga Pereira, Francesco Fuggitti, Felipe Meneguzzi +1
Goal Recognition is the task of discerning the correct intended goal that an agent aims to achieve, given a set of goal hypotheses, a domain model, and a sequence of observations (…
Uncertain Machine Ethical Decisions Using Hypothetical Retrospection
Simon Kolker, Louise Dennis, Ramon Fraga Pereira +1
We propose the use of the hypothetical retrospection argumentation procedure, developed by Sven Ove Hansson to improve existing approaches to machine ethical reasoning by accountin…
Iterative Depth-First Search for Fully Observable Non-Deterministic Planning
Ramon Fraga Pereira, André G. Pereira, Frederico Messa +1
Fully Observable Non-Deterministic (FOND) planning models uncertainty through actions with non-deterministic effects. Existing FOND planning algorithms are effective and employ a w…
Recognizing LTLf/PLTLf Goals in Fully Observable Non-Deterministic Domain Models
Ramon Fraga Pereira, Francesco Fuggitti, Giuseppe De Giacomo
Goal Recognition is the task of discerning the correct intended goal that an agent aims to achieve, given a set of possible goals, a domain model, and a sequence of observations as…
Inferring Agents Preferences as Priors for Probabilistic Goal Recognition
Kin Max Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi
Recent approaches to goal recognition have leveraged planning landmarks to achieve high-accuracy with low runtime cost. These approaches, however, lack a probabilistic interpretati…
The More the Merrier?! Evaluating the Effect of Landmark Extraction Algorithms on Landmark-Based Goal Recognition
Kin Max Piamolini Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi
Recent approaches to goal and plan recognition using classical planning domains have achieved state of the art results in terms of both recognition time and accuracy by using heuri…
HAPRec: Hybrid Activity and Plan Recognizer
Roger Granada, Ramon Fraga Pereira, Juarez Monteiro +4
Computer-based assistants have recently attracted much interest due to its applicability to ambient assisted living. Such assistants have to detect and recognize the high-level act…
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…
An LP-Based Approach for Goal Recognition as Planning
Luísa R. de A. Santos, Felipe Meneguzzi, Ramon Fraga Pereira +1
Goal recognition aims to recognize the set of candidate goals that are compatible with the observed behavior of an agent. In this paper, we develop a method based on the operator-c…
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…
LSTM-Based Goal Recognition in Latent Space
Leonardo Amado, João Paulo Aires, Ramon Fraga Pereira +3
Approaches to goal recognition have progressively relaxed the requirements about the amount of domain knowledge and available observations, yielding accurate and efficient algorith…
Heuristic Approaches for Goal Recognition in Incomplete Domain Models
Ramon Fraga Pereira, Felipe Meneguzzi
Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate…
Landmark-Based Plan Recognition
Ramon Fraga Pereira, Felipe Meneguzzi
Recognition of goals and plans using incomplete evidence from action execution can be done efficiently by using planning techniques. In many applications it is important to recogni…