Emergic Metaphysics is an analytic "process philosophy" simplified for cognition but based on modern Physics - it is the only notation that can deal with change under feedback cycles. It is the basis for the Emergic Approach housed within Wikimergic.
This project looks at whether altruism, the urge to help others while ignoring the cost to yourself, should be included as a fundamental brain mechanism, based on evolutionary arguments and simulations. This question has important implications for modeling how helping behaviors occur.
The goal of this project is to create and test an emotional module for the ACT-R cognitive architecture. The module, which runs in Python ACT-R, simulates the role of the amygdala in cognitive activity. Currently we are testing it using the Iowa Gambling Task
This project involves understanding human game playing in terms of detecting sequential dependencies (as opposed to understanding it in terms of probabilities, which is commonly the case). Models have been created and tested using neural networks and ACT-R
Python ACT-R is a re-implementation and re-conceptualization of the ACT-R architecture in the Python language. It has the same cognitive functionality as Lisp ACT-R but it does not have Lisp ACT-R's perceptual and motor modules. Instead, Python ACT-R has a system for building modules by re-implementing the production system mechanism and the semantic network mechanism used to model procedural memory and declarative memory in ACT-R theory. Therefore, Python ACT-R is driven by multiple production systems operating in parallel. This is different from Lisp ACT-R, but will produce the same behavior as long as only one production system is used for modeling procedural memory.