Search Results for author:
Found 13 papers, 1 papers with code
Single and bi-layered 2-D acoustic soft tactile skin (AST2)
This paper aims to present an innovative and cost-effective design for Acoustic Soft Tactile (AST) Skin, with the primary goal of significantly enhancing the accuracy of 2-D tactile feature estimation.
Computational Argumentation-based Chatbots: a Survey
Chatbots are conversational software applications designed to interact dialectically with users for a plethora of different purposes.
Hierarchical Mask2Former: Panoptic Segmentation of Crops, Weeds and Leaves
We achieve a PQ{\dag} of 75. 99.
Towards practical object detection for weed spraying in precision agriculture
The evolution of smaller, faster processors and cheaper digital storage mechanisms across the last 4-5 decades has vastly increased the opportunity to integrate intelligent technologies in a wide range of practical environments to address a broad spectrum of tasks.
Argument Schemes and Dialogue for Explainable Planning
Artificial Intelligence (AI) is being increasingly deployed in practical applications.
A model to support collective reasoning: Formalization, analysis and computational assessment
Instead, we define a weaker notion of rationality that characterises coherent opinions, and we consider different scenarios based on the coherence of individual opinions and the level of consensus that users have on the debate structure.
Argument Schemes for Explainable Planning
In order to establish trust in AI systems, there is a need for the user to understand the reasoning behind their solutions and therefore, the system should be able to explain and justify its output.
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset
In the work described here, we automatically annotate stance as implicit or explicit and our results show that the datasets we generate, although noisy, can be used to learn better models for implicit/explicit opinion classification.
Two forms of minimality in ASPIC+
Many systems of structured argumentation explicitly require that the facts and rules that make up the argument for a conclusion be the minimal set required to derive the conclusion.
On the links between argumentation-based reasoning and nonmonotonic reasoning
In this paper we investigate the links between instantiated argumentation systems and the axioms for non-monotonic reasoning described in [9] with the aim of characterising the nature of argument based reasoning.
An Argumentation-Based Framework to Address the Attribution Problem in Cyber-Warfare
Attributing a cyber-operation through the use of multiple pieces of technical evidence (i. e., malware reverse-engineering and source tracking) and conventional intelligence sources (i. e., human or signals intelligence) is a difficult problem not only due to the effort required to obtain evidence, but the ease with which an adversary can plant false evidence.
