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Better Decision Making in Complex, Dynamic Tasks pp 55–63Cite as

Seeking the Truth: Human-Facilitated ILEs and Hypotheses Development

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Part of the book series: Understanding Complex Systems ((UCS))

Abstract

Following the conceptual exploration and the empirical reflections on decision-making and learning with ILEs in the previous chapters, in this chapter, we attempt to develop a theoretical framework for the alternative designs of ILE(s). Any model or theory albeit to guide decision-making in dynamic tasks , should have viable and testable preposition(s).

An indispensable hypothesis, even though still far from being a guarantee of success, is however the pursuit of a specific aim, whose lighted beacon, even by initial failures, is not betrayed.—Max Planck

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Notes

  1. 1.

    Cue Summation Theory [27] asserts that there are benefits of providing cues to the decision-makers. However, provision of more than two cues (of the same information) is of not much benefit to the decision-maker. In our experiments, for in-task level facilitation, the intervention was limited to one time only.

  2. 2.

    Mental models are abstract representations in our mind of things and situations around us [10]. When it comes to people’s decision-making in dynamic tasks, we consider mental models as the representation of “causal relationships between the variables of the task system” that a decision-maker attend to or make use of them [17] For excellent review on mental model concept and its use in dynamic systems, please see Schaffernicht and Groesser [25].

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  1. School of Administrative Studies, York University, Toronto, ON, Canada

    Hassan Qudrat-Ullah

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  1. Hassan Qudrat-Ullah
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Correspondence to Hassan Qudrat-Ullah .

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Qudrat-Ullah, H. (2015). Seeking the Truth: Human-Facilitated ILEs and Hypotheses Development. In: Better Decision Making in Complex, Dynamic Tasks. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-07986-8_4

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