• Corpus ID: 219965812

Online Handbook of Argumentation for AI: Volume 1

  title={Online Handbook of Argumentation for AI: Volume 1},
  author={Ohaai Collaboration Federico Castagna and Timotheus Kampik and Atefeh Keshavarzi Zafarghandi and Mickael Lafages and J. D. Mumford and Christos T. Rodosthenous and Samy S'a and Ştefan Sarkadi and Joseph Singleton and Kenneth Skiba and Andreas Xydis},
  journal={arXiv: Artificial Intelligence},
This volume contains revised versions of the papers selected for the first volume of the Online Handbook of Argumentation for AI (OHAAI). Previously, formal theories of argument and argument interaction have been proposed and studied, and this has led to the more recent study of computational models of argument. Argumentation, as a field within artificial intelligence (AI), is highly relevant for researchers interested in symbolic representations of knowledge and defeasible reasoning. The… 
1 Citations

Figures from this paper

Argumentation and Defeasible Reasoning in the Law
This work provides an overview of the following logic-based approaches to defeasible reasoning: defeasibles logic, Answer Set Programming, ABA+, ASPIC+, and DeLP, and compares features of these approaches under three perspectives: the logical model, the method, and the technology.


Synthesizing Argumentation Frameworks from Examples
This work proposes and study the AF synthesis problem as a natural extension of realizability, addressing some of the shortcomings arising from the relatively stringent definition of realIZability.
From Argument Diagrams to Argumentation Mining in Texts: A Survey
The authors provide a critical survey of the literature on both the resulting representations i.e., argument diagramming techniques and on the various aspects of the automatic analysis process.
Story Comprehension through Argumentation
A novel application of argumentation for automated Story Comprehension is presented, using argumentation to develop a computational approach for SC as this is understood and studied in psychology.
Control Argumentation Frameworks
This work proposes Control Argumentation Frameworks (CAFs), a new approach that generalizes existing techniques, namely normal extension enforcement, by accommodating the possibility of uncertainty in dynamic scenarios.
An introduction to argumentation semantics
The paper presents an extensive set of general properties for semantics evaluation and analyzes the notions of argument justification and skepticism, and discusses some relationships between semantics properties and domain-specific requirements.
Argumentation mining
This work presents different methods to aid argumentation mining, starting with plain argumentation detection and moving forward to a more structural analysis of the detected argumentation.