Abstract
The objective of this chapter is to describe the interaction between emotions and the preservation of ideas in engineering and design activities. Johnson-Laird’s mental model construct of internal representations is utilized to define cognitive resistance. A description of the interaction between emotions and cognitive resistance is presented. A value function that forecasts a subject’s behavior when confronted with stimuli that are contradictory to his mental model is derived from a reinforcement learning framework. An experimental study has been conducted to validate the theory. The relevant results, confirming the predictions of the value function, are presented.
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Notes
- 1.
Meaning that the model only makes sense as a whole; the constituent parts are unimportant and not easily accessible.
- 2.
In the meaning of “functional for survival”.
- 3.
An analogous analysis is warranted in the context of continuous time.
- 4.
In real life, contradictory stimuli may—and often do—extinguish, of course.
- 5.
An important assumption is that all of the relevant history of the environment is represented in each state signal, so that these have Markov properties, and the reinforcement learning framework represents a Markov decision process.
- 6.
This simplification allows us to disregard the non-contradictory stimuli that are usually interspaced between the contradictory stimuli and is allowable for the qualitative discussion in this section.
- 7.
Following [48], we use the term “value function” to denote the expected future rewards if the agent follows a particular set of consecutive actions (a so-called policy).
- 8.
Joy will be used as the general term to describe the positively valenced emotions in this chapter.
- 9.
That is, “to broaden thought-action repertoires and lead to actions that build enduring personal resources” [54].
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de Boer, R.J., Badke-Schaub, P. (2013). Interaction Between Emotions and Mental Models in Engineering and Design Activities. In: Fukuda, S. (eds) Emotional Engineering vol. 2. Springer, London. https://doi.org/10.1007/978-1-4471-4984-2_10
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