The quark and the jaguar: adventures in the simple and the complex
The quark and the jaguar: adventures in the simple and the complex
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Dynamics of complex systems
Can there be a science of complex systems?
Proceedings from the international conference on complex systems on Unifying themes in complex systems
Hi-index | 0.00 |
In this paper, we put forth a theoretical cum methodological proposal for a line of inquiry that seeks to understand learning as an emergent phenomenon. Our theoretical and methodological arguments detail how an emergent conception of learning places limits on experimental and descriptive approaches, whether used alone or in combination. These limits are not so much a function of causality or reduction, but the need to deal with the dialectical co-existence of linearity and non-linearity that often characterizes complex phenomenon. To overcome these limits, albeit only partially, we leverage complexity theory to advance computational agent-based models as part of an integrated, iteratively validated phenomenological-ABM inquiry cycle to understand learning as an emergent phenomenon from the "bottom up."