Similarity notions in bipolar abstract argumentation

Abstract

The notion of similarity has been studied in many areas of Computer Science; in a general sense, this concept is defined to provide a measure of the semantic equivalence between two pieces of knowledge, expressing how "close" their meaning can be regarded. In this work, we study similarity as a tool useful to improve the representation of arguments, the interpretation of the relations between arguments, and the semantic evaluation associated with the arguments in the argumentative process. In this direction, we present a novel mechanism to determine the similarity between two arguments based on descriptors representing particular aspects associated with these arguments. This mechanism involves a comparison process influenced by the context in which the process develops, where this context provides the relevant aspects that need to be analyzed in the application domain. Then, we use this similarity measure as a quantity to compute the result of attacks and supports in the argumentation process. These valuations, applied to a Bipolar Argumentation Frameworks, allowed us to refine the argument relations, providing the tools to establish a family of new argumentation semantics that considers the similarity between arguments as a crucial part for the argumentation process.

Evaluation of argument strength in attack graphs: Foundations and semantics

“…More recently, the discussion around similarity in argumentation is gaining more and more interest (e.g. [71,72,73,74]). This is mainly due to noteworthy presence of similar arguments in online debate platforms and also between logical arguments [75].…”

A General Setting for Gradual Semantics Dealing with Similarity

“…Therefore, we assume the availability of a measure that assesses the degree of similarity between any pair of arguments. Examples of such measures can be found in (Budan et al 2020;Amgoud and David 2018).…”

“…This approach does not deal with partial similarity. The second work, (Budan et al 2015(Budan et al , 2020, uses similarity at the level of attacks. It forbids attacks between quite similar arguments.…”

Strength in coalitions: Community detection through argument similarity

“…Based on the bipolar formalism, in [11] the authors presented an approach to use a similarity degree measure between arguments to characterize the attack and support relations in a BAF [2,12]. They consider gradual relations between arguments to define more flexible sets of acceptable arguments.…”

“…The detection of communities in social media will be based on the support and similarity relations between arguments, while the classification of the communities will be done according to the similarity degree between the stances that conform to them. To do this, we will take advantage of the notion of coalition presented in [13] and the framework proposed in [11].…”