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Predictive models and abstract argumentation: the case of high-complexity semantics

Mauro Vallati, Federico Cerutti, Massimiliano Giacomin
2019 Knowledge engineering review (Print)  
In this paper, we describe how predictive models can be positively exploited in abstract argumentation. In particular, we present two main sets of results.  ...  On the other side, we show that predictive models predict significant aspects of the solution to the preferred extensions enumeration problem.  ...  in dealing with high-complexity problems.  ... 
doi:10.1017/s0269888918000036 fatcat:4jsyaff2xnhj7htkgrw742wyrm

The copredication argument

John Collins
2017 Inquiry (Oslo)  
My aim here is to present the argument explicitly, defend it against some likely counterclaims, and resolve what might appear to be a decisive consideration against the conclusion of the argument, viz.  ...  It would appear to follow that the semantic properties of expressions, such as nominals, specify the very worldly objects that make true or false the sentences that host the nominals.  ...  Perhaps, then, the force of the above argument trades on an unduly high standard of what is to count as an external semantic value.  ... 
doi:10.1080/0020174x.2017.1321500 fatcat:52gkxhp7wzfkblrsartrdky4v4

An experimental analysis on the similarity of argumentation semantics

Federico Cerutti, Matthias Thimm, Mauro Vallati
2020 Argument & Computation  
In this paper we ask whether approximation for abstract argumentation is useful in practice, and in particular whether reasoning with grounded semantics – which has polynomial runtime – is already an approximation  ...  As it turns out, in many graphs models, reasoning with grounded semantics actually approximates reasoning with other semantics almost perfectly.  ...  In [35] predictive models have been positively exploited in abstract argumentation for predicting significant aspects, such as the number, of the solution to the preferred extensions enumeration problem  ... 
doi:10.3233/aac-200907 fatcat:zdcicncxsnggxgnrehqi6kdmyy

Argumentation theory in health care

Luca Longo, Bridget Kane, Lucy Hederman
2012 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)  
A encouraging predictive capacity is compared against the accuracy rate of wellestablished machine learning techniques confirming the potential of argumentation theory in health care.  ...  The basic principles of argumentation theory are described and demonstrated in the breast cancer recurrence problem.  ...  We compared the predictive capacity of our argumentation theory-based model against well known machine learning tools.  ... 
doi:10.1109/cbms.2012.6266323 dblp:conf/cbms/LongoKH12 fatcat:dsg72z5qrbbn7orbfethejaaxq

Explaining Arguments with Background Knowledge

Maria Becker, Ioana Hulpuş, Juri Opitz, Debjit Paul, Jonathan Kobbe, Heiner Stuckenschmidt, Anette Frank
2020 Datenbank-Spektrum  
The responsibility of critical analysis of arguments is thus tacitly transferred to the content consumer who is often not prepared for the task, nor aware of the responsibility.  ...  This requires human background knowledge and reasoning capacity, in order to explicate the complete reasoning of an argument.  ...  Given a clause in its context (previous clauses and previously predicted labels), the model predicts its semantic type (i.e., state, event, generic, generalizing sentence).  ... 
doi:10.1007/s13222-020-00348-6 fatcat:zd55bxjr7bhs5ab5whi3ih4q4y

Argumentative XAI: A Survey [article]

Kristijonas Čyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni
2021 arXiv   pre-print
In this survey we overview XAI approaches built using methods from the field of computational argumentation, leveraging its wide array of reasoning abstractions and explanation delivery methods.  ...  We overview the literature focusing on different types of explanation (intrinsic and post-hoc), different models with which argumentation-based explanations are deployed, different forms of delivery, and  ...  Acknowledgements This research was funded in part by the Royal Academy of Engineering, UK, and by J.P. Morgan.  ... 
arXiv:2105.11266v1 fatcat:rnvydntysfa5tdzwzoj52gsac4

Classifying the Patterns of Natural Arguments

Macagno, Walton
2015 Philosophy & Rhetoric  
The purpose of this article is to show how arguments are characterized by a complex combination of two levels of abstraction, namely, semantic relations and types of reasoning, and to provide an effective  ...  Schemes have been developed as stereotypical patterns of inference, abstract structures representing the material (semantic) relation and logical relation between the premises and a conclusion in an argument  ...  They are the result of a combination of two levels of abstraction, two different ways of looking at the complex reality of natural arguments.  ... 
doi:10.5325/philrhet.48.1.0026 fatcat:tpg32cuvaraxjiylj7ugafxdd4

Artificial Argumentation for Humans

Serena Villata
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Argumentation pervades human intelligent behavior, and I believe that it is a mandatory element to conceive autonomous artificial machines that can exploit argumentation models and tools in the cognitive  ...  The latest years have seen an increasing interest in the topic of Artificial Intelligence (AI), the challenges it is facing, and the recent advances it has achieved, e.g., intelligent personal assistants  ...  Acknowledgments This work has been partially supported by EU H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 690974 for the project MIREL: MIning and REasoning  ... 
doi:10.24963/ijcai.2018/818 dblp:conf/ijcai/Villata18 fatcat:wmn6arinuvghveapothrg5qesu

Classifying the Patterns of Natural Arguments

Fabrizio Macagno, Douglas Walton
2015 Social Science Research Network  
The purpose of this article is to show how arguments are characterized by a complex combination of two levels of abstraction, namely, semantic relations and types of reasoning, and to provide an effective  ...  Schemes have been developed as stereotypical patterns of inference, abstract structures representing the material (semantic) relation and logical relation between the premises and a conclusion in an argument  ...  They are the result of a combination of two levels of abstraction, two different ways of looking at the complex reality of natural arguments.  ... 
doi:10.2139/ssrn.2577387 fatcat:modh6ozchvfrhbbiokoa6jbxse

Triviality Arguments Reconsidered

Paul Schweizer
2019 Minds and Machines  
a maximally liberal and unfettered view of physical implementation, and at the same time defuse the triviality arguments that have motivated defenders of CTM to impose various theory-laden constraints  ...  However, instead of attempting to 'save' CTM by constraining the account of physical implementation, I argue that the general form of the triviality argument is invalid.  ...  Acknowledgements This paper was originally presented at the IACAP 2018 conference, and I would like to thank Ron Chrisley, Joe Dewhurst, Oron Shagrir, and other members of the audience for useful questions  ... 
doi:10.1007/s11023-019-09501-x fatcat:kccdqcvfd5adbj2ey2qgdk6rgm

Argumentation mining: How can a machine acquire common sense and world knowledge?

Marie-Francine Moens
2018 Argument & Computation  
We propose a number of ways to improve the learning of common sense and world knowledge by exploiting textual and visual data, and touch upon how we can integrate the learned knowledge in the argumentation  ...  of the argumentation, its composing elements and their relationships is not explicitly present in the text, but makes up the background knowledge that humans possess when interpreting language.  ...  Deep learning has become a branch of machine learning where one attempts to model high-level abstractions by using a "deep" graph with multiple processing layers that perform linear and non-linear transformations  ... 
doi:10.3233/aac-170025 fatcat:jiifm7vupncbvb2ovnuwjyd22y

Winning Arguments

Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
2016 Proceedings of the 25th International Conference on World Wide Web - WWW '16  
In particular, the interplay between the language of the opinion holder and that of the counterargument provides highly predictive cues of persuasiveness.  ...  We find that persuasive arguments are characterized by interesting patterns of interaction dynamics, such as participant entry-order and degree of back-and-forth exchange.  ...  The high quality of argumentation makes CMV a model site for seeing whether opinion shifts can at least occur under favorable conditions.  ... 
doi:10.1145/2872427.2883081 dblp:conf/www/TanNDL16 fatcat:gny7zir7nvcfzavyuxnqo77gli

Argumentation mining

Raquel Mochales Palau, Marie-Francine Moens
2009 Proceedings of the 12th International Conference on Artificial Intelligence and Law - ICAIL '09  
Argumentation mining aims to detect the arguments presented in a text document, the relations between them and the internal structure of each individual argument.  ...  Argumentation is the process by which arguments are constructed and handled. Argumentation constitutes a major component of human intelligence.  ...  is the "correct" abstract structure of argumentation?  ... 
doi:10.1145/1568234.1568246 dblp:conf/icail/PalauM09a fatcat:6lm3w3en2zfb5n6iiqqi5auyxi

Deep Argumentative Explanations [article]

Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago, Francesca Toni
2021 arXiv   pre-print
We refer to our novel explanations collectively as Deep Argumentative eXplanations (DAXs in short), given that they reflect the deep structure of the underlying NNs and that they are defined in terms of  ...  notions from computational argumentation, a form of symbolic AI offering useful reasoning abstractions for explanation.  ...  Morgan and by the Royal Academy of Engineering under the Research Chairs and Senior Research Fellowships scheme.  ... 
arXiv:2012.05766v4 fatcat:66qelbm4wzenzbfxllqckxswza

Argumentation mining

Raquel Mochales, Marie-Francine Moens
2011 Artificial Intelligence and Law  
and following arguments, recognizing the underlying conceptual beliefs, and understanding within the comprehensive coherence of the specific topic.  ...  Different state-of-the-art techniques on machine learning and context free grammars are applied to solve the challenges of argumentation mining.  ...  It learns a model of the joint probability of an element x and its label y, p(x, y) , and makes its predictions by using Bayes rule to calculate p(y|x) and then selects the most likely label y.  ... 
doi:10.1007/s10506-010-9104-x fatcat:4fytid7y7ndvvhts6kwjboaoq4
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