Responds to comments by D. T. Campbell; D. N. Robinson; M. J. Mahoney; K. M. Ford; and J. Adams-Webber on the present authors’ articles. Issues related to the concepts of pragmatic and existential constructivism, relativism, realism, and entrainment are addressed.
Agnew N. M. & Brown J. L. (1989) Foundations for a model of knowing I. Constructing reality. Canadian Psychology 30(2): 152–167. https://cepa.info/7559
Traditional views of knowledge are being challenged. An emerging “constructivist” perspective, as proposed by George Kelly, an engineer turned clinician, suggests that to a large degree we construct reality. In his “constructive alternativism” Kelly assumes that we validate our hypotheses and beliefs through subjectively construed goodness-of-fit criteria applied to perceived differences between anticipations and feedback. His model of construing is compatible with those emerging in the history and philosophy of science and in cognitive psychology. Nevertheless, constructivists must answer a perplexing question: How can fallible knowledge, constructed as it is from abstracted and incomplete representations of objects and events, capture and maintain our confidence, as it does, and furthermore prove highly functional, as it does?
Agnew N. M. & Brown J. L. (1989) Foundations for a model of knowing II. Fallible but functional knowledge. Canadian Psychology 30(2): 168–183. https://cepa.info/7560
An evolving theory known as “constructivism” challenges the traditional view of how we generate and revise knowledge. Constructivism helps address a major issue raised by modern scholars of the history and philosophy of science, and decision theory. The question is: How do we reduce the search and solution space of complex and changing environments to “mind size” (i.e., to fit our limited memory and computational capacity)? One emerging answer is that we rely heavily upon robust presuppositions and simplified representations of environmental structure. However, such constructed knowledge is likely to be highly fallible, relying as it must on impoverished data bases in the service of strong expectations or paradigms. In this paper we address two issues: Under what conditions can knowledge be highly fallible and at the same time be highly functional?; Can we make a plausible case, within this constructivist frame of reference, for realism, for knowledge that approximates “reality”?