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View article: Socially aware robot for reward, effort, and risk distribution
Socially aware robot for reward, effort, and risk distribution Open
International audience
View article: SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2
SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2 Open
The automatic generation of SysML v2 models represents a major challenge in the engineering of complex systems, particularly due to the scarcity of learning corpora and complex syntax. We present SysTemp, a system aimed at facilitating and…
View article: TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization
TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization Open
Task-oriented grasping (TOG) is an essential preliminary step for robotic task execution, which involves predicting grasps on regions of target objects that facilitate intended tasks. Existing literature reveals there is a limited availabi…
View article: VIRAL: Vision-grounded Integration for Reward design And Learning
VIRAL: Vision-grounded Integration for Reward design And Learning Open
The alignment between humans and machines is a critical challenge in artificial intelligence today. Reinforcement learning, which aims to maximize a reward function, is particularly vulnerable to the risks associated with poorly designed r…
View article: Eliciting Rational Initial Weights in Gradual Argumentation
Eliciting Rational Initial Weights in Gradual Argumentation Open
Many semantics for weighted argumentation frameworks assume that each argument is associated with an initial weight. However, eliciting these initial weights poses challenges: (1) accurately providing a specific numerical value is often di…
View article: Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues Open
Training task-oriented dialogue systems is both costly and time-consuming, due to the need for high-quality datasets encompassing diverse intents. Traditional methods depend on extensive human annotation, while recent advancements leverage…
View article: Assisted Debate Builder with Large Language Models
Assisted Debate Builder with Large Language Models Open
We introduce ADBL2, an assisted debate builder tool. It is based on the capability of large language models to generalise and perform relation-based argument mining in a wide-variety of domains. It is the first open-source tool that levera…
View article: Human Compliance with Normative Principles in Argumentation: Effects of Naturalness Bias and Graphical Representation
Human Compliance with Normative Principles in Argumentation: Effects of Naturalness Bias and Graphical Representation Open
International audience
View article: Towards a moral robot: Reward, effort, and risk distribution to humans following social norms
Towards a moral robot: Reward, effort, and risk distribution to humans following social norms Open
International audience
View article: Impact Measures for Gradual Argumentation Semantics
Impact Measures for Gradual Argumentation Semantics Open
Argumentation is a formalism allowing to reason with contradictory information by modeling arguments and their interactions. There are now an increasing number of gradual semantics and impact measures that have emerged to facilitate the in…
View article: Assisted Debate Builder with Large Language Models
Assisted Debate Builder with Large Language Models Open
We introduce ADBL2, an assisted debate builder tool. It is based on the capability of large language models to generalise and perform relation-based argument mining in a wide-variety of domains. It is the first open-source tool that levera…
View article: Abstract Weighted Based Gradual Semantics in Argumentation Theory
Abstract Weighted Based Gradual Semantics in Argumentation Theory Open
Weighted gradual semantics provide an acceptability degree to each argument representing the strength of the argument, computed based on factors including background evidence for the argument, and taking into account interactions between t…
View article: Distance-based approaches to repair semantics in ontology-based data access
Distance-based approaches to repair semantics in ontology-based data access Open
In the presence of inconsistencies, repair techniques thrive to restore consistency by reasoning with several repairs. However, since the number of repairs can be large, standard inconsistent tolerant semantics usually yield few answers. I…
View article: One-Shot Learning for Task-Oriented Grasping
One-Shot Learning for Task-Oriented Grasping Open
International audience
View article: Dance, Dance, Dance With My Hands: Third-Party Human Robot-Human Interactions
Dance, Dance, Dance With My Hands: Third-Party Human Robot-Human Interactions Open
International audience
View article: Inferring attack relations for gradual semantics
Inferring attack relations for gradual semantics Open
A gradual semantics takes a weighted argumentation framework as input and outputs a final acceptability degree for each argument, with different semantics performing the computation in different manners. In this work, we consider the probl…
View article: Inferring Attack Relations for Gradual Semantics
Inferring Attack Relations for Gradual Semantics Open
A gradual semantics takes a weighted argumentation framework as input and outputs a final acceptability degree for each argument, with different semantics performing the computation in different manners. In this work, we consider the probl…
View article: Special issue on conceptual structures
Special issue on conceptual structures Open
Funding Open Access funding enabled and organized by Projekt DEAL.
View article: Improving Reasoning Efficiency in ASPIC+ with Backwards Chaining and Partial Arguments
Improving Reasoning Efficiency in ASPIC+ with Backwards Chaining and Partial Arguments Open
Publisher Copyright: © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
View article: Resilience, reliability, and coordination in autonomous multi-agent systems
Resilience, reliability, and coordination in autonomous multi-agent systems Open
Multi-agent systems is an evolving discipline that encompasses many different branches of research. The long-standing Agents at Aberdeen ( A 3 ) group undertakes research across several areas of multi-agent systems, focusing in particular …
View article: Inverse Problems for Gradual Semantics
Inverse Problems for Gradual Semantics Open
Gradual semantics with abstract argumentation provide each argument with a score reflecting its acceptability. Many different gradual semantics have been proposed in the literature, each following different principles and producing differe…
View article: Utility Functions for Human/Robot Interaction
Utility Functions for Human/Robot Interaction Open
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 a utility-based model that will govern a robot's actions. T…
View article: Analytical Solutions for the Inverse Problem within Gradual Semantics
Analytical Solutions for the Inverse Problem within Gradual Semantics Open
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 which a preference ordering over arguments can be derived. Wh…
View article: The Inverse Problem for Argumentation Gradual Semantics
The Inverse Problem for Argumentation Gradual Semantics Open
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 gradual semantics have been proposed in the literature, each f…
View article: Chameleon - A Framework for Developing Conversational Agents for Medical Training Purposes
Chameleon - A Framework for Developing Conversational Agents for Medical Training Purposes Open
International audience
View article: Representing pure Nash equilibria in argumentation
Representing pure Nash equilibria in argumentation Open
In this paper we describe an argumentation-based representation of normal form games, and demonstrate how argumentation can be used to compute pure strategy Nash equilibria. Our approach builds on Modgil’s Extended Argumentation Frameworks…