Our primary research goal is to investigate the effectiveness and cognitive (epistemological) implications of representing electrical conduction in a multi-agent based computational learning environment based on agent-level, intuitive mechanisms.
['Pratim Sengupta', 'Uri Wilensky']
Learning about complex systems: the role of perceptual signatures and agent-level mechanisms in understanding emergence: an example in learning electricity