The Emergic Cognitive Model (or ECM) is a unifying cognitive model that develops genetically, i.e., based on development parameters or modeling DNA. ECM advances a single powerful theory of human cognition for explaining a variety of emergent phenomena described across experimental paradigms and academic disciplines
The unifying model has no free parameters, and its emergent behavior is commensurate with expectations in its developmental differences, as well as its interactions across a variety of environments, stimuli and situations.
Unifying modeling is guided by the principles of the Emergic Approach for progressing science. Thus, ECM is based on the Emergic Network (a computational architecture), is embodied and developed within virtual agents (persons), and situated within environments (worlds) of an Emergic Cognitive System, for non-representational real-time information processing.
Currently, the Emergic Cognitive Model supports low-level aspects of dynamic visual processing. It has a biological realistic retina (with a blind spot, a random placement of photoreceptors that grow in size beyond the fovea), and supports eye movement (including jitter) without motion blur, blinking, and object motion.
- Emergic Network, the computational architecture used for ECM
- Emergic Cognitive System, the real-time interaction system that embodies and situates ECMs
- Emergic Approach, the epistemology guiding the unifying development of ECM and use of the Emergic Network
- Wikimergic, a top-level WikiSilo that houses the Emergic Approach & Emergic Cognitive System, and parent of WikiECM
- WikiECM, a 2nd level WikiSilo (under Wikimergic), that houses ECM
- Leibovitz, D. P. (2013). A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture (Doctoral dissertation). Carleton University. Retrieved from http://dpleibovitz.upwize.com/?p=189.
- Other ECM publications
- wikimergic.org (temporarily including the Emergic Cognitive Model)