This paper connects ideas from twentieth century Gestalt psychology, experiments in vision science, and Maurice Merleau-Ponty’s phenomenology of perception. I propose that when we engage in simple sensorimotor tasks whose successful completion is open, our behavior may be motivated by practical perceptual awareness alone, responding to invariant features of the perceptual field that are invisible to other forms of perceptual awareness. On this view, we see more than we think we see, as evidenced by our skillful bodily behavior.

Dennett's "Consciousness Explained" (1991) is an inspiring but also a highly frustrating book. The line of the argument seems to be clear, but then at second sight it fades away. It turns out that Dennett uses six of the seven strategies which I discuss in my 'The Seven Strategies of the Sophisticated Pseudo-Scientist: A Look into Freud's Rhetorical Tool Box' (J. Gen. Phil. Sci., 2001) Discussing important examples of these strategies I show why "Consciousness Explained" is such a frustrating book. (...) As the examples used do not reflect minor problems but go to the heart of the matter and concern the book's main areas of contention, it turns out that, in spite of the valuable and insightful details, Dennett's materialistic view of consciousness is supported mainly by rhetorical sleights of hand. (shrink)

This paper looks at two puzzles raised by the phenomenon of inattentional blindness. First, how can we see at all if, in order to see, we must first perceptually attend to that which we see? Second, if attention is required for perception, why does it seem to us as if we are perceptually aware of the whole detailed visual field when it is quite clear that we do not attend to all that detail? We offer a general framework for thinking (...) about perception and perceptual consciousness that addresses these questions and we propose, in addition, an informal account of the relation between attention and consciousness. On this view, perceptual awareness is a species of attention. (shrink)

The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). -/- ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact to raise (...) additional emergent behaviours via cognitive re-use, hence the Emergic prefix throughout. Nevertheless, the model is robust and parameter free. Differential re-use occurs in the nature of model interaction with a particular testing paradigm. -/- ECM has a novel decomposition due to the requirements of handling motion and of supporting unified modelling via finer functional grains. The breadth of phenomenal behaviour covered is largely to lend credence to our novel decomposition. -/- The Emergic Network architecture is a hybrid between classical connectionism and classical computationalism that facilitates the construction of unified cognitive models. It helps cutting up of functionalism into finer-grains distributed over space (by harnessing massive recurrence) and over time (by harnessing continuous change), yet simplifies by using standard computer code to focus on the interaction of information flows. Thus while the structure of the network looks neurocentric, the dynamics are best understood in flowcentric terms. Surprisingly, dynamic system analysis (as usually understood) is not involved. An Emergic Network is engineered much like straightforward software or hardware systems that deal with continuously varying inputs. Ultimately, this thesis addresses the problem of reduction and induction over complex systems, and the Emergic Network architecture is merely a tool to assist in this epistemic endeavour. -/- ECM is strictly a sensory model and apart from perception, yet it is informed by phenomenology. It addresses the attribution problem of how much of a phenomenon is best explained at a sensory level of analysis, rather than at a perceptual one. As the causal information flows are stable under eye movement, we hypothesize that they are the locus of consciousness, howsoever it is ultimately realized. (shrink)