Anthony F. Peressini

Philosophers and psychologists have experimentally explored various aspects of people’s understandings of subjective experience based on their responses to questions about whether robots “see red” or “feel frustrated,” but the intelligibility of such questions may well presuppose that people understand robots as experiencers in the first place. Departing from the standard approach, I develop an experimental framework that distinguishes 20 between “phenomenal consciousness” as it is applied to a subject (an experiencer) and to an (experiential) mental state and experimentally test folk understandings of both subjective experience and experiencers. My findings (1) reveal limitations in experimental approaches using “artificial experiencers” like robots, (2) indicate that the standard philosophical conception of subjective experience in terms of qualia is distinct from that of the folk, and (3) show that folk intuitions do support a conception of qualia that departs from the philosophical conception in that it is physical rather than metaphysical. These findings have implications for the “hard problem” of consciousness.

Understanding probabilities as something other than point values has often been motivated by the need to find more realistic models for degree of belief, and in particular the idea that degree of belief should have an objective basis in “statistical knowledge of the world.” I offer here another motivation growing out of efforts to understand how chance evolves as a function of time. If the world is “chancy” in that there are non-trivial, objective, physical probabilities at the macro-level, then the chance of an event e that happens at a given time is \ until it happens. But whether the chance of e goes to one continuously or not is left open. Discontinuities in such chance trajectories can have surprising and troubling consequences for probabilistic analyses of causation and accounts of how events occur in time. This, coupled with the compelling evidence for quantum discontinuities in chance’s evolution, gives rise to a “continuity bind” with respect to chance probability trajectories. I argue that a viable option for circumventing the continuity bind is to understand the probabilities “imprecisely,” that is, as intervals rather than point values. I then develop and motivate an alternative kind of continuity appropriate for interval-valued chance probability trajectories.