Online research in philosophy

In Koriat's paper ''The Feeling of Knowing: Some Metatheoretical Implications for Consciousness and Control,'' he asserts that the feeling of knowing straddles the implicit and explicit, and that these conscious feelings enter into a conscious control process that is necessary for controlled behavior. This assertion allows him to make many speculations on the nature of consciousness itself. We agree that feelings of knowing are produced through a monitoring of one's knowledge, and that this monitoring can affect the control of behavior such as whether or not to search memory for an answer. Further, we believe that monitoring of performance with a strategy can also affect cognition control and strategy selection; however, we also believe that frequently this monitoring and control occurs without conscious awareness. Feeling of knowing has received an inordinate amount of attention because it lies behind the highly recognizable tip-of-the-tongue phenomenon that represents one of the rare cases of conscious monitoring. There are other feelings of knowing which are much more common and are not accompanied by conscious awareness. These are evident in the early selection of a strategy for answering a problem. In our view, the research on feeling of knowing will not resolve the question of whether consciousness is merely epiphenomenal.

Maintaining adequate performance in dynamic and uncertain settings has been a perennial stumbling block for intelligent systems. Nevertheless, any system intended for real-world deployment must be able to accommodate unexpected change—that is, it must be perturbation tolerant. We have found that metacognitive monitoring and control—the ability of a system to self-monitor its own decision-making processes and ongoing performance, and to make targeted changes to its beliefs and action-determining components—can play an important role in helping intelligent systems cope with the perturbations that are the inevitable result of real-world deployment. In this article we present the results of several experiments demonstrating the efficacy of metacognition in improving the perturbation tolerance of reinforcement learners, and discuss a general theory of metacognitive monitoring and control, in a form we call the metacognitive loop.

One of the promising approaches to the problem of consciousness has been the Higher-Order Monitoring Theory of Consciousness. According to the Higher-Order Monitoring Theory, a mental state M of a subject S is conscious iff S has another mental state, M*, such that M* is an appropriate representation of M. Recently, several philosophers have developed a Higher-Order Monitoring theory with a twist. The twist is that M and M* are construed as entertaining some kind of constitutive relation, rather than being logically independent of each other. We may call this the Same-Order Monitoring Theory of Consciousness. In this paper, I discuss the nature of the Same-Order Monitoring Theory and argue for its superiority over the more traditional Higher-Order Monitoring Theory.

During the 1980s, federal regulations transferred significant portions of the responsibility for monitoring the care and use of research animals from animal care programs to Institutional Animal Care and Use Committees (IACUCs). After a brief review of the history of the regulation of the use of animals in research preceding and during the 4 decades following World War 11, this article raises 4 problems associated with the role IACUCs currently play in monitoring the use of animals in research: (a) lack of expertise, (b) diverted resources, (c) conflict of interest, and (d) restrictions of academic freedom. It is concluded that the care and treatment of animals used in research would be served better and organized more rationally if the day-to-day responsibilities for approving projects and caring for animals were separated more clearly from broader, oversight functions, with the former being assigned to animal care programs and the latter to IACUCs.

Smith et al. present us with a false dichotomy in explaining their uncertainty data: Either the animals' responses are “under the associative control of stimulus cues,” or the animals must be responding “under the metacognitive control of uncertainty cues.” There is a third alternative to consider: one that is genuinely cognitive, neither associative nor stimulus driven, but purely first-order in character. On this alternative the metacognitive reports of humans in these situations reflect states that are interpretative rather than causal in character.

Three types or levels of uncertainty monitoring are distinguished: (1) uncertainty responding but no feelings of uncertainty, (2) conscious feelings of uncertainty, (3) conscious feelings of uncertainty plus reflective awareness of what these feelings are and mean. It is hypothesized that only the first and perhaps the second occur in animals and human infants, whereas all three occur in older humans. Two possible lines of future research are also suggested.

The study of metacognition can shed light on some fundamental issues about consciousness and its role in behavior. Metacognition research concerns the processes by which people self reflect on their own cognitive and memory processes (monitoring), and how they put their metaknowledge to use in regulating their information processing and behavior (control). Experimental research on metacognition has addressed the following questions: First, what are the bases of metacognitive judgments that people make in monitoring their learning, remembering, and performance? Second, how valid are such judgments and what are the factors that affect the correspondence between subjective and objective indexes of knowing? Third, what are the processes that underlie the accuracy and inaccuracy of metacognitive judgments? Fourth, how does the output of metacognitive monitoring contribute to the strategic regulation of learning and remembering? Finally, how do the metacognitive processes of monitoring and control affect actual performance? Research addressing these questions is reviewed, emphasizing its implication for issues concerning consciousness, in particular, the genesis of subjective experience, the function of self-reflective consciousness, and the cause-and-effect relation between subjective experience and behavior.

We suggest that the phenomenon of uncertainty monitoring in nonhuman animals contributes richly to the conception of nonhuman animals' self-monitoring. We propose that uncertainty may play a role in the emergence of new forms of behavior that are adaptive. We recommend that Smith et al. determine the extent to which the uncertain response transfers immediately to other test paradigms.

Smith et al. demonstrate the viability of animal metacognition research. We commend their effort and suggest three avenues of research. The first concerns whether animals are explicitly aware of their metacognitive processes. The second asks whether animals have metaknowledge of their own uncertain responses. The third issue concerns the monitoring/control distinction. We suggest some ways in which these issues elucidate metacognitive processes in nonhuman animals.

Researchers have begun to explore animals' capacities for uncertainty monitoring and metacognition. This exploration could extend the study of animal self-awareness and establish the relationship of self-awareness to other-awareness. It could sharpen descriptions of metacognition in the human literature and suggest the earliest roots of metacognition in human development. We summarize research on uncertainty monitoring by humans, monkeys, and a dolphin within perceptual and metamemory tasks. We extend phylogenetically the search for metacognitive capacities by considering studies that have tested less cognitively sophisticated species. By using the same uncertainty-monitoring paradigms across species, it should be possible to map the phylogenetic distribution of metacognition and illuminate the emergence of mind. We provide a unifying formal description of animals' performances and examine the optimality of their decisional strategies. Finally, we interpret animals' and humans' nearly identical performances psychologically. Low-level, stimulus-based accounts cannot explain the phenomena. The results suggest granting animals a higher-level decision-making process that involves criterion setting using controlled cognitive processes. This conclusion raises the difficult question of animal consciousness. The results show that animals have functional features of or parallels to human conscious cognition. Remaining questions are whether animals also have the phenomenal features that are the feeling/knowing states of human conscious cognition, and whether the present paradigms can be extended to demonstrate that they do. Thus, the comparative study of metacognition potentially grounds the systematic study of animal consciousness. Key Words: cognition; comparative cognition; consciousness; memory monitoring; metacognition; metamemory; self-awareness; uncertainty; uncertainty monitoring.