By Naeem Khalid Janjua
This e-book reviews at the improvement and validation of a familiar defeasible good judgment programming framework for conducting argumentative reasoning in Semantic net functions (GF@SWA). The proposed method is exclusive in delivering an answer for representing incomplete and/or contradictory details coming from various assets, and reasoning with it. GF@SWA is ready to characterize this sort of details, practice argumentation-driven hybrid reasoning to unravel conflicts, and generate graphical representations of the built-in details, hence supporting selection makers in determination making strategies. GF@SWA represents the 1st argumentative reasoning engine for conducting automatic reasoning within the Semantic internet context and is predicted to have an important effect on destiny company purposes. The e-book presents the readers with a close and transparent exposition of alternative argumentation-based reasoning options, and in their value and use in Semantic internet purposes. It addresses either lecturers and execs, and should be of basic curiosity to researchers, scholars and practitioners within the zone of Web-based clever selection help platforms and their program in a number of domains.
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Additional info for A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications
An undercutting argument is an argument with a claim that contradicts some of the assumptions/inference of another argument. For arguments to be acceptable, they must be weighed, compared and evaluated to identify the set of warrants and a conclusion which convinces all decision makers. An acceptable set of arguments is coherent and strong enough to defend itself against any attacking argument. 4 Argumentation Scheme During the process of argumentation, relationships among arguments link them with one another in a certain pattern to support the ultimate conclusion.
However, this is not true in all cases. In a classical sense, argumentation is the study of effective reasoning to reach to a conclusion which is the key way humans deal with incomplete and/or contradictory information by taking into account the exchange and evaluation of arguments and counter-arguments relevant to a certain issue (Zarefsky 2009). Decisions from argumentative reasoning are backed by an explanation generated during the choices made. Argumentation is inherently a process rather than an instant picture and the building blocks of argumentation are arguments and relationship between those arguments (Loui 1998).
4 Philosophical Models of Argumentation 37 express the concept of degree of cogency. The degrees of cogency are certainty, probability, plausibility or possibility. 6. Rebuttals or Counter-arguments: Any rebuttal is an argument in itself, and thus may include a claim, warrant, backing and so on. It also can have a rebuttal. According to Baroni et al. (1998), Toulmin’s conceptual model of argumentation can help to classify the various ways an argument can be analyzed. According to Toulmin, three possible strategies are: 1.
A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications by Naeem Khalid Janjua