On Wednesday, March 20th, 2019, at 4 p.m., J. Scott Jordan of Illinois State University will present a talk of interest to a broad audience. All are welcome. The talk will take place in B1.08, on the first floor of the Computer Science building.
Title: Wild Narratives: The Science of Consciousness and the Stories We Live in
Abstract: The models we have of what we are and what we live in necessarily contextualize and constrain our models of science and consciousness. At one time, certain groups of humans conceptualized themselves as eternal spirits living in a transient material world. In contemporary models, we often describe ourselves as informational minds living in a physical world, or as physical minds situated in a physical world. Whatever the model, the present talk will propose that all such models constitute wild narratives. They are narratives because they are necessarily representations of (i.e., they are about) what we are and what we live in, and they are wild because they emerge ontogenetically, socially, culturally, and phylogenetically out of lived life. I propose such narratives have their roots in unconscious anticipations that allow us to distinguish ourselves from the world, including the actions, perceptions, and cognitions of others. Research indicates these anticipations emerge from a similar cortico-cerebellar architecture that results in all cortical activity being inherently anticipatory because it is continuously, recursively primed by memory-laden cortico-cerebellar networks (Koziol & Lutz, 2013; Schmahmann, 2001). As a result, the past is continually fed forward into the present as anticipation about the future in action, perception, and cognition, simultaneously. In short, we necessarily live within multiple levels of wild narrative, simultaneously. The talk will conclude with a review a number of contemporary cultural, artistic narratives that address these issue directly. These include W. G. Sebald’s,The Rings of Saturn, Hayao Miyazaki’s, Mononoke-Hime, and the HBO series, Deadwood.
On Monday, December 3rd, at 16:00, Dr Marek McGann of Mary Immaculate College, Limerick will present a talk of broad relevance to the cognitive science and psychology cohort. All are welcome. The talk will take place in B1.08, on the first floor of the Computer Science building.
Title: The Scope of Psychology: Addressing the relationship between psychological phenomena of different temporal and physical scales.
Abstract: Mind-relevant phenomena occur at a number of different temporal and physical scales – from perception of events of milliseconds duration, to hours long rambling conversations, to prolonged collaborative endeavours of a community. Despite long decades of research and inter-disciplinary communication, however, we have few resources for systematically addressing the various relationships between these different phenomena and the range of scales involved. In this talk, I will argue that the failure to examine these considerations in some detail is likely responsible for problematic oversights, and incoherences, within and between various disciplines of cognitive science, using my own field of psychology as an example – particularly the somewhat fraught relationship that psychological science has with its use of averages to describe and explain individuals. Using the Skilled Intentional Framework developed by Erik Rietveld and colleagues, which integrates aspects of enactive and ecological approaches to cognitive science, I will outline one way in which we might conceptualise the relationships in question, and explore the structure of psychological or cognitive phenomena at multiple scales of activity.
On Tuesday November 13th, Professor Linda Smith of Indiana University will give a talk on the topic of infant learning and development. The talk will be at 13:00 in Room B1.09 of the Computer Science Building. Linda runs the Cognitive Development lab in Bloomington Indiana.
Title: Learning from the infant’s point of view
How do infants learn their first words in a noisy environment? How do they progress from being slow incremental learners to rapid learners who appropriately generalize categories and concepts from minimal experience? How might the answers to these questions make for smarter, more nuanced, machine learning? We have used head cameras to collect egocentric views (and parent talk) in the home from the perspective of infants and toddlers (1 month olds to 30 month olds, with no experimenters present, 1000 hours of head camera video) and in a naturalistic toy room environment in the laboratory (about 200 hours of head-mounted eye tracking yielding both the ego-centric view and the gaze within that view). Our analyses indicate four principles we believe to be key to human prowess in visual category recognition: (1) Learn a massive amount about very few individual entities (and little bit about lots of other individual things); (2) Learn a massive amount about a very few categories (and a little bit about lots of other categories); (3) Learn about small selective sets at different points in time; (4) Self-generate the data for learning (with some help from mom and dad). The implications for both human cognition and machine learning will be discussed.