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Towards a Dual Process Cognitive Model for Argument Evaluation

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Scalable Uncertainty Management (SUM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9310))

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Abstract

In this paper we are interested in the computational and formal analysis of the persuasive impact that an argument can produce on a human agent. We propose a dual process cognitive computational model based on the highly influential work of Kahneman and investigate its reasoning mechanisms in the context of argument evaluation. This formal model is a first attempt to take a greater account of human reasoning and is a first step to a better understanding of persuasion processes as well as human argumentative strategies, which is crucial in collective decision making domain.

This work has been supported by the Agence Nationale de la Recherche (grant ANR-12-CORD-0012) and has benefited from useful discussion in Dagstuhl Seminar 15221 “Multi-disciplinary approaches to reasoning”.

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Notes

  1. 1.

    Note that S1 and S2 are linked as we will see in (1) of Definition 3.

  2. 2.

    Inspired from the Desire-Generation rules (of Rahwan and Amgoud [25]).

  3. 3.

    French funded project aiming at improving durum wheat sustainability (http://www.agence-nationale-recherche.fr/?Project=ANR-13-ALID-0002).

  4. 4.

    Note that we could also have given more weight to the depth in the stack than to iteration or conversely, hence transform the equation into \({\mathtt {weight}}(D)=\alpha .\sum _{i=1}^n d_i +\beta .n\) with a “smart” tuning of the ratio between \(\alpha \) and \(\beta \) (this tuning should be based on psychological experiments).

  5. 5.

    In practice, a constructive method to obtain \(R_\varphi \) could be an adaptation of Dijkstra algorithm on a graph where the vertices are partial reflection paths. An arc would link a vertex to another vertex if it corresponds to an extension of the path of one iteration (hence there would be as many arcs starting from a given vertex as the stack corresponding to this vertex is deep), namely there would be an arc between \((\varphi _1,\varphi _2)\) and \((\varphi _1,\varphi _2,\varphi _3)\). The algorithm should start from the vertex corresponding to the empty path (i.e. it corresponds to the initial concept \(\varphi \)) and find a shortest path to a vertex with a non-empty flag. The length of a path would be the \({\mathtt {weight}}\) of the reflection path \(R_\varphi \) contained in the last vertex of the path.

  6. 6.

    Note that we propose to be neutral wrt an argument that uses an unknown warrant.

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Bisquert, P., Croitoru, M., de Saint-Cyr, F.D. (2015). Towards a Dual Process Cognitive Model for Argument Evaluation. In: Beierle, C., Dekhtyar, A. (eds) Scalable Uncertainty Management. SUM 2015. Lecture Notes in Computer Science(), vol 9310. Springer, Cham. https://doi.org/10.1007/978-3-319-23540-0_20

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