Leibovitz, D. P. (2007) Language. Lecture given to the “PSYC 2700D: Introduction to Cognitive Psychology” class. Carleton University, pp. 1-29, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.3079.9847] (pdf)
Abstract: Introduces language from a cognitive science perspective.
Leibovitz, D. P. (2007) Word Length Effect (In Serial Recall). Lecture given to the “PSYC 2700D: Introduction to Cognitive Psychology” class. Carleton University, pp. 1-39, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.1.4325.1688] (pdf)
Abstract: Introduces the experimental paradigm in cognitive psychology.
During 2007 – 2009, David taught specific sections of various courses – cognition, linguistics, philosophy, psychology & metaphysics.
The Emergic Approach (or EA) is a unifying methodology (and discipline) for progressing science based on the mathematical foundation of open-form thinking. Besides formal proof, the ability to unify disparate phenomena within a computational model is demonstrated by the Emergic Cognitive Model that was completely based on the Emergic Approach, while simultaneously enriching it.
A complex version of open-form thinking has successful hardened physics. However, the soft sciences (and philosophy) are replete with closed-form thoughts that in totality present an almost insurmountable barrier to change. Next to this fortress of cards, open-form thinking appears as a farfetched and irrelevant “philosophy” rather than as the standard approach. While it may be philosophizing, it is less for philosophers, and more for theoretical scientists in the soft sciences (especially cognitive science) interested in synthesis.
From 2007 – present, David Pierre Leibovitz developed a unified epistemology, ontology & metaphysics for the analysis, decomposition, synthesis and modeling of complex systems. The empirical philosophizing behind this Emergic Approach (or EA) to unified cognitive modeling is validated by developing a unified cognitive model – the Emergic Cognitive Model (ECM). This research was initially developed at Carleton University.
Emergic Cognitive Model
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.
Jittering retina of the Emergic Cognitive Model
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.