Bernard C. E. Scott

Open peer commentary on the article “A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems” by Filipo Studzinski Perotto. Upshot: In making a contribution to artificial intelligence research, Perotto has taken note of work on human cognition. However, there are certain aspects of human cognition that are not taken into account by the author’s model and that, generally, are overlooked or ignored by the artificial intelligence research community at large

Context: Although there are rich descriptive accounts of skill acquisition in the literature, there are no satisfactory explanatory models of the cognitive processes involved. Problem: The aim of the paper is to explain some key phenomena frequently observed in the acquisition of motor skills: the loss of conscious access to knowledge of the structure of a skill and the awareness that an error has been made prior to the receipt of knowledge of results. Method: In the 1970s, the first author implemented a computer program model of the cognitive processes involved in learning and skill acquisition, based on a series of empirical investigations. Recently, with assistance from the second author, the model has been reviewed, updated and re-implemented. Result: The model provides a constructivist account of skill acquisition and associated phenomena. Implications: The model adds to the understanding of motor skill acquisition and will be of interest to researchers and practitioners in physical therapy and sports science. It is also provides a constructivist cognitive architecture that can be fruitfully contrasted with non-constructivist cognitive architectures well-known in cognitive science

Context: Both Luhmann and Pask have developed detailed theories of social systems that include accounts of the role of learning. Problem: Rather than see the theories as competing, we believe it is worthwhile to seek ways in which a useful synthesis of the two approaches may be developed. Method: We compare the two approaches by identifying key similarities and differences. Results: We show it is possible to make useful mappings between key concepts in the two theories. Implications: We believe it is worthwhile for social scientists to be familiar with the two theories and that it is not a case of “either/or,” rather, it is a case of “both/and.”

Context: The field of psychology consists of many specialist domains of activity, which lack shared foundations. This means that the field as a whole lacks conceptual coherence. Problem: The aim of the article is to show how second-order cybernetics can provide both foundations and a unifying conceptual framework for psychology. Method: The field of psychology is overviewed. There is then a demonstration of how cybernetics can provide both foundations and a unifying conceptual framework. This entails defining some key cybernetics concepts and showing how they have already permeated the field, largely implicitly, and showing how, when made explicit, they can unify the field. Results: I show how concepts from second-order cybernetics can unify “process” and “person” approaches within psychology and can also unify individual psychology and social psychology, a unification that also builds conceptual bridges with sociology. Implications: The results are of value for bringing order to an otherwise inchoate field. They afford better communication between those working in the field, which is likely to give rise to new research questions and more effective ways of tackling them. Constructivist content: Central to the article is a reliance on concepts taken from the constructivist perspective of second-order cybernetics.

Although it is conceded that distinct knowledge domains do presentparticular problems of coming to know, in thispaper it is argued that it is possible to construct a domain independent modelof the processes of coming to know, one inwhich observers share understandings and do soin agreed ways. The model in question is partof the conversation theory of Gordon Pask. CT, as a theory of theory construction andcommunication, has particular relevance forfoundational issues in science and scienceeducation. CT explicitly propounds a ``radicalconstructivist'' epistemology. A briefaccount is given of the main tenets of RC andCT's place in that tradition and the traditionsof cybernetics. The paper presents a briefnon-technical account of the main concepts ofCT including elaborations by Laurillard andHarri-Augstein and Thomas. As part of CT, Pask also elaborated a methodology – knowledgeand task analysis – for analysing the structureof different knowledge domains; thismethodology is sketched in outline