Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
A mathematical treatment of defeasible reasoning and its implementation
Artificial Intelligence
General patterns in nonmonotonic reasoning
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Abstract argumentation systems
Artificial Intelligence
ACM Computing Surveys (CSUR)
A logic-based theory of deductive arguments
Artificial Intelligence
Defeasible reasoning with variable degrees of justification
Artificial Intelligence
Introduction to Multiagent Systems
Introduction to Multiagent Systems
The Possibilistic Handling of Irrelevance in Exception-Tolerant Reasoning
Annals of Mathematics and Artificial Intelligence
Inferring from Inconsistency in Preference-Based Argumentation Frameworks
Journal of Automated Reasoning
Relating defeasible and normal logic programming through transformation properties
Theoretical Computer Science
Relating Defeasible and Default Logic
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Complete Calcultis for Possibilistic Logic Programming with Fuzzy Propositional Variables
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
Argumentation-based negotiation
The Knowledge Engineering Review
A logic programming framework for possibilistic argumentation with vague knowledge
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
On the evaluation of argumentation formalisms
Artificial Intelligence
Knowledge and information distribution leveraged by intelligent agents
Knowledge and Information Systems
International Journal of Approximate Reasoning
Computing dialectical trees efficiently in possibilistic defeasible logic programming
LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
An argument-based framework to model an agent’s beliefs in a dynamic environment
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
International Journal of Approximate Reasoning
A Level-based Approach to Computing Warranted Arguments in Possibilistic Defeasible Programming
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Modelling Argument Accrual in Possibilistic Defeasible Logic Programming
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Classification and strategical issues of argumentation games on structured argumentation frameworks
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
A characterization of collective conflict for defeasible argumentation
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
A computational method for defeasible argumentation based on a recursive warrant semantics
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Infrastructures and tools for multiagent systems for the new generation of distributed systems
Engineering Applications of Artificial Intelligence
DipGame: A challenging negotiation testbed
Engineering Applications of Artificial Intelligence
Realizing argumentation in multi-agent systems using defeasible logic programming
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
An argument-based multi-agent system for information integration
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
Towards pragmatic argumentative agents within a fuzzy description logic framework
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
A Possibilistic Argumentation Decision Making Framework with Default Reasoning
Fundamenta Informaticae - Latin American Workshop on Logic Languages, Algorithms and New Methods of Reasoning (LANMR)
A probabilistic approach to modelling uncertain logical arguments
International Journal of Approximate Reasoning
Extending a temporal defeasible argumentation framework with possibilistic weights
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
Arguing with justifications between collaborating agents
ArgMAS'11 Proceedings of the 8th international conference on Argumentation in Multi-Agent Systems
Modelling argument accrual with possibilistic uncertainty in a logic programming setting
Information Sciences: an International Journal
Structural properties for deductive argument systems
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the complexity of probabilistic abstract argumentation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Probabilistic qualification of attack in abstract argumentation
International Journal of Approximate Reasoning
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In the last decade defeasible argumentation frameworks have evolved to become a sound setting to formalize commonsense, qualitative reasoning. The logic programming paradigm has shown to be particularly useful for developing different argument-based frameworks on the basis of different variants of logic programming which incorporate defeasible rules. Most of such frameworks, however, are unable to deal with both explicit uncertainty and vague knowledge, as defeasibility is directly encoded in the object language. This paper presents possibilistic defeasible logic programming (P-DeLP), a new logic programming language which combines features from argumentation theory and logic programming, incorporating as well the treatment of possibilistic uncertainty. Such features are formalized on the basis of PGL, a possibilistic logic based on Godel fuzzy logic. One of the applications of P-DeLP is providing an intelligent agent with non-monotonic, argumentative inference capabilities. In this paper we also provide a better understanding of such capabilities by defining two non-monotonic operators which model the expansion of a given program by adding new weighed facts associated with argument conclusions and warranted literals, respectively. Different logical properties for the proposed operators are studied.