Narrative Reasoning

Narrative Reasoning

DOI: 10.4018/978-1-4666-1818-3.ch006
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A large proportion of our knowledge and indeed our reasoning is not received or communicated as formal reasoning or informal reasoning but, in fact, as stories. When we focus on this as a reality, it demands that we consider what can be said about reasoning that is conveyed and represented in stories and how it relates to other forms of representing and communicating reasoning. Given that stories are so commonly used, is it possible that they are a form of coalesced reasoning that a community can use, or do they confuse and detract from the main concerns and aspirations of reasoning communities?
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The paradigmatic mode of human decision making and communication is “good reasons” which vary in form among communication situations, genres, and media (Fisher, 1995).



There are two main approaches that people use to organize and make sense out of their experiences: logical thinking and stories or narrative thinking. Both of these approaches have a long history of providing useful structures for organizing experiences and being able to make sense of them. Narrative reasoning can provide a valuable approach to complex reasoning involved in problem solving and decision-making. Often, there are areas that require clear practical reasoning that may be poorly understood and even less clearly available for learning by some form of logical analysis and representation.

Much of our attempt to understand our world has taken the form of stories and narrative myths. These myths and stories have often passed on, in a compressed form, reasoning that has been important practically as well as in a literary sense. McCloskey (1990) describes stories and metaphors as the two ways of understanding things and suggests that they can work together to provide answers. Narrative reasoning addresses situations that find difficulty in being addressed with the sequential form of verbal reasoning. The situations often involve multiple causes and multiple effects. Many social phenomena are like this and it would be fair to say that the great body of our accumulated social wisdom is expressed as narrative. Narrative reasoning could be viewed as an efficient way of dealing with complexity. Whereas verbal reasoning relies on long chains of logical steps, each small enough to be considered proven, narrative reasoning addresses situations that cannot be addressed in this way. For example, we could analyse the social information in the movie Jurassic Park as the verbal representations: the amazing world of the dinosaurs recreated as a theme park; the fallacy of man trying to control the development of biological species. There are many other interpretations and lines of reasoning that are captured.

In both logical reasoning and narrative reasoning, cause and effect relations are established between factors and used in sequential patterns. Both aim to organize and make sense of human experience in a way that can guide problem solving and decision-making. Whilst we recognize the product of logical or analytical reasoning as laws or rules, which are largely context-free and testable, the product of narrative reasoning is a story, which is highly contextual and testable mainly through personal and interpersonal experience.

In this chapter, we briefly review models of stories and narrative. From this, we extract a simple story model and some of the important aspects of narrative models. These are combined with a model of reasoning (the Generic/Actual Argument Model) to produce a way of generating stories from reasoning that convey the reasoning.

The literature has suggested that human beings process information in two ways: analytically and narratively. People in areas such as law and the sciences are more familiar and aware of analytic argument, but legal discourse can also take the form of narrative. Some of the differences between what might be called analytic reasoning and narrative can be gleaned. Arguments and more formal reasoning tend to convince others by being grounded in the facts and sound deductive reasoning from the facts. They try to appeal to a notion of truth and rules. However often this is achieved through norms that are abstracted from life experiences. Narratives are convincing because of their plausibility or likeliness. A narrative’s likeliness arises out of reasoning based upon common, shared or well understood experience and knowledge of how things really are in the world. There is a strong connection to the specifics of a situation and its credibility.

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Table of Contents
John Yearwood, Andrew Stranieri
Chapter 1
In this chapter, the concept of a reasoning community is introduced. The overarching motivation is to understand reasoning within groups in real... Sample PDF
The Elements of Collective Decision Making
Chapter 2
In this chapter, we consider in some detail the nature of collective reasoning and the existing approaches to supporting the collective reasoning... Sample PDF
Collective Reasoning and Coalescing Reasoning
Chapter 3
In this chapter, the nature of the process that each participant engages in individually in order to contribute to collective reasoning is... Sample PDF
Individual Reasoning within a Reasoning Community
Chapter 4
In this chapter, we present a formal description of the Generic/Actual Argument Model (GAAM) and develop from this some of its characteristics... Sample PDF
The Generic/Actual Argument Model
Chapter 5
In this chapter, we consider the part that the communication of reasoning plays in contributing to the actions of reasoning communities.... Sample PDF
Communicating Reasoning and Dialectics
Chapter 6
Narrative Reasoning  (pages 144-178)
A large proportion of our knowledge and indeed our reasoning is not received or communicated as formal reasoning or informal reasoning but, in fact... Sample PDF
Narrative Reasoning
Chapter 7
We mentioned in Chapter 2 that there are fundamental elements that underlie why reasoners might disagree. One of these fundamental elements is the... Sample PDF
Ontologies and the Semantic Web
Chapter 8
Apart from work toward developing ontologies, very little has been done towards developing highly structured reusable reasoning repositories that... Sample PDF
Pragmatic Approaches to Supporting Reasoning Communities
Chapter 9
In this chapter, technological innovations that aim to support reasoning communities are presented. These include decision support systems, group... Sample PDF
Tools and Applications for Reasoning Communities
Chapter 10
This chapter provides concluding comments on reasoning communities. Types of reasoning communities are identified and described. Technological tools... Sample PDF
Conclusion: Technological Support for Reasoning Communities
About the Contributors