Jim Davies

This article argues for a task-based approach to identifying and individuating cognitive systems. The agent-based extended cognition approach faces a problem of cognitive bloat and has difficulty accommodating both sub-individual cognitive systems ("scaling down") and some supra-individual cognitive systems ("scaling up"). The standard distributed cognition approach can accommodate a wider variety of supra-individual systems but likewise has difficulties with sub-individual systems and faces the problem of cognitive bloat. We develop a task-based variant of distributed cognition designed to scale up and down smoothly while providing a principled means of avoiding cognitive bloat. The advantages of the task-based approach are illustrated by means of two parallel case studies: re-representation in the human visual system and in a biomedical engineering laboratory.

An experiment investigated the relationship between the ability to encode verbal stimuli during an attentional lapse. The task employed a variation on the sustained attention to response task which involved the detection of an infrequent target against a background of words. As a manipulation, participants were either instructed to encode the stimuli or were merely exposed to the stimuli. Retrieval was measured using process dissociation. Irrespective of the instructions given to the participants during the task, participants were more likely to retrieve information on the basis of recollection after an error was made than before, whilst the likelihood of retrieving information on the basis of familiarity remained invariant over the same period. The implications of this result for methods of investigating subjective experience are discussed

Three experiments investigated the relationship between subjective experience and attentional lapses during sustained attention. These experiments employed two measures of subjective experience to examine how differences in awareness correspond to variations in both task performance and psycho-physiological measures . This series of experiments examine these phenomena during the Sustained Attention to Response Task . The results suggest we can dissociate between two components of subjective experience during sustained attention: task unrelated thought which corresponds to an absent minded disengagement from the task and a pre-occupation with one's task performance that seems to be best conceptualised as a strategic attempt to deploy attentional resources in response to a perception of environmental demands which exceed ones ability to perform the task. The implications of these findings for our understanding of how awareness is maintained on task relevant material during periods of sustained attention are discussed

Beliefs about hypothetical situations need to be 'quarantined' from factual representations, so that our inference processes do not make false conclusions about the real world. Nichols argued for the existence of a place where these special beliefs are kept: the pretence box. We show that this theory has a number of drawbacks, including its inability to account for simultaneously keeping track of multiple imagined worlds. We offer an explanation that remedies these problems: beliefs of content imagination each belong to some number of microtheories; systems of ideas tagged as being true or false only in certain contexts.

I explore how many within modern industrial societies currently understand, manage, and respond to their emotional suffering. I argue that this understanding and management of suffering has radically altered in the last 30 years, creating a new model of suffering, “the negative model” (suffering is purposeless), which has largely replaced the “positive model” (suffering is purposeful) that prevailed in the 18th and 19th centuries. This shift has been hastened by what I call the “rationalization of suffering”—namely, the process by which suffering is predominantly now understood in biological and psychiatric terms rather than in religious, philosophical, or moral. This process accompanied the great forces of secularization, medicalization unleashed at the enlightenment—forces gaining their modern expression through psychiatry, the behavioral psychotherapies, the happiness industries, as well as through aggressive market, individualistic, medical, and positivistic ideas and movements. This shift has entailed many socio/cultural implications important for anthropologists to explore further.

Population-level biomedical research has become crucial to the health system’s ability to improve the health of the population. This form of research raises a number of well-documented ethical concerns, perhaps the most significant of which is the inability of the researcher to obtain fully informed specific consent from participants. Two proposed technical solutions to this problem of consent in large-scale biomedical research that have become increasingly popular are meta-consent and dynamic consent. We critically examine the ethical and practical credentials of these proposals and find them lacking. We suggest that the consent problem is not solved by adopting a technology driven approach grounded in a notion of ‘specific’ consent but by taking seriously the role of research governance in combination with broader conceptions of consent. In our view, these approaches misconstrue the rightful location of authority in the way in which population-level biomedical research activities are structured and organized. We conclude by showing how and why the authority for determining the nature and shape of choice making about participation ought not to lie with individual participants, but rather with the researchers and the research governance process, and that this necessarily leads to the endorsement of a fully articulated broad consent approach.

As a belief source, testimony has long been held by theorists of the mind to play a deeply important role in human cognition. It is unclear, however, just why testimony has been afforded such cognitive importance. We distinguish three suggestions on the matter: the number claim, which takes testimony’s cognitive importance to be a function of the number of beliefs it typically yields, relative to other belief sources; the reliability claim, which ties the importance of testimony to its relative truth-conduciveness; and the scope claim, according to which testimony’s importance is a function of its relative representational power, non-numerically conceived. After laying out these three suggestions, we go on to argue that there is little hope of grounding testimony’s cognitive importance in either the number claim or the reliability claim. We conclude with a tentative exploration of the basis and plausibility of the scope claim.

Many mental phenomena involve thinking about people who do not exist. Imagined characters appear in planning, dreams, fantasizing, imaginary companions, bereavement hallucinations, auditory verbal hallucinations, and as characters created in fictional narratives by authors. Sometimes these imagined persons are felt to be completely under our control, as when one fantasizes about having a great time at a party. Other times, characters feel as though they are outside of our conscious control. Dream characters, for example, are experienced by dreamers as autonomous entities, and often do things that frighten and surprise dreamers. Some imagined persons, such as characters in fiction, start off under conscious control of the author, but over time, can appear to gain an illusion of independent agency. I propose an explanation for different autonomy attributions: characters are by default non-autonomous, unless their personalities are well-practiced. Characters become autonomous because modeling their thinking has become automatized, like many other well-practiced activities.

An incoherent visualization is when aspects of different senses of a word are present in the same visualization. We describe and implement a new model of creating contextual coherence in the visual imagination called Coherencer, based on the SOILIE model of imagination. We show that Coherencer is able to generate scene descriptions that are more coherent than SOILIE's original approach as well as a parallel connectionist algorithm that is considered competitive in the literature on general coherence. We also show that co-occurrence probabilities are a better association representation than holographic vectors and that better models of coherence improve the resulting output independent of the association type that is used. Theoretically, we show that Coherencer is consistent with other models of cognitive generation. In particular, Coherencer is a similar, but more cognitively plausible model than the C3 model of concept combination created by Costello and Keane. We show that Coherencer is also consistent with both the modal schematic indices of perceptual symbol systems theory and the amodal contextual constraints of Thagard's theory of coherence. Finally, we describe how Coherencer is consistent with contemporary research on the hippocampus, and we show evidence that the process of making a visualization coherent is serial.

Visual analogy is believed to be important in human problem solving. Yet, there are few computational models of visual analogy. In this paper, we present a preliminary computational model of visual analogy in problem solving. The model is instantiated in a computer program, called Galatea, which uses a language for representing and transferring visual information called Privlan. We describe how the computational model can account for a small slice of a cognitive-historical analysis of Maxwell’s reasoning about electromagnetism.