This paper explores connections between Radical Empiricism (RE), a philosophic attitude developed by William James at the beginning of the 20th century, and Empirical Modelling (EM), an approach to computer-based modelling that has been developed by the author and his collaborators over a number of years. It focuses in particular on how both RE and EM promote a perspective on the nature of knowing that is radically different from that typically invoked in contemporary approaches to knowledge representation in computing. This is illustrated in detail with reference to the modelling of several scenarios of lift use. Some potential implications for knowledge management are briefly reviewed.
Toivonen, Tapani, Ilkka Jormanainen & Markku Tukiainen
2018. An Open Robotics Environment Motivates Students to Learn the Key Concepts of Artificial Neural Networks and Reinforcement Learning. In Robotics in Education [Advances in Intelligent Systems and Computing, 630], ► pp. 317 ff.
Beynon, Meurig
2009. Constructivist Computer Science Education Reconstructed. Innovation in Teaching and Learning in Information and Computer Sciences 8:2 ► pp. 73 ff.
Beynon, Meurig
2012. Proceedings of the ACM international symposium on New ideas, new paradigms, and reflections on programming and software, ► pp. 229 ff.
Beynon, Meurig
2012. Modelling with Experience: Construal and Construction for Software. In Ways of Thinking, Ways of Seeing [Automation, Collaboration, & E-Services, 1], ► pp. 197 ff.
Beynon, Meurig & Steve Russ
2008. Experimenting with computing. Journal of Applied Logic 6:4 ► pp. 476 ff.
Beynon, W.M., R.C. Boyatt & S.B. Russ
2006. Third International Conference on Information Technology: New Generations (ITNG'06), ► pp. 149 ff.
Boyatt, R., A. Harfield & M. Beynon
2006. Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), ► pp. 662 ff.
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