Online research in philosophy

Conceptual knowledge is acquired through recurrent experiences, by extracting statistical regularities at different levels of granularity. At a fine level, patterns of feature co-occurrence are categorized into objects. At a coarser level, patterns of concept co-occurrence are categorized into contexts. We present and test CONCAT, a connectionist model that simultaneously learns to categorize objects and contexts. The model contains two hierarchically organized CALM modules (Murre, Phaf, & Wolters, 1992). The first module, the Object Module, forms object representations based on co-occurrences (...) between features. These representations are used as input for the second module, the Context Module, which categorizes contexts based on object co-occurrences. Feedback connections from the Context Module to the Object Module send activation from the active context to those objects that frequently occur within this context. We demonstrate that context feedback contributes to the successful categorization of objects, especially when bottom-up feature information is degraded or ambiguous. (shrink)

Religions commonly are taken to provide general orientation in leading one's life. We develop here the idea that religions also may have a much more concrete guidance function in providing systematic decision biases in the face of cognitive-control dilemmas. In particular, we assume that the selective reward that religious belief systems provide for rule-conforming behavior induces systematic biases in cognitive-control parameters that are functional in producing the wanted behavior. These biases serve as default values under uncertainty and affect performance in (...) any task that shares cognitive-control operations with the religiously motivated rule-conforming behavior the biases were originally developed for. Such biases therefore can be unraveled and objectified by means of rather simple tasks that are relatively well understood with regard to the cognitive mechanisms they draw on. (shrink)

Human cognition and action are intentional and goal-directed, and explaining how they are controlled is one of the most important tasks of the cognitive sciences. After half a century of benign neglect this task is enjoying increased attention. Unfortunately, however, current theorizing about control in general, and the role of consciousness for/in control in particular, suffers from major conceptual flaws that lead to confusion regarding the following distinctions: (i) automatic and unintentional processes, (ii) exogenous control and disturbance (in a control-theoretical (...) sense) of endogenous control, (iii) conscious control and conscious access to control, and (iv) personal and systems levels of analysis and explanation. Only if these flaws are overcome will a comprehensive understanding of the relationship between consciousness and control emerge. (shrink)

Participants were required to switch among randomly ordered tasks, and instructional cues were used to indicate which task to execute. In Experiments 1 and 2, the participants indicated their readiness for the task switch before they received the target stimulus; thus, each trial was associated with two primary dependent measures: (1) readiness time and (2) target reaction time. Slow readiness responses and instructions emphasizing high readiness were paradoxically accompanied by slow target reaction time. Moreover, the effect of task switching on (...) readiness time was an order of magnitude smaller then the (objectively estimated) duration required for task preparation (Experiment 3). The results strongly suggest that participants have little conscious awareness of their preparedness and challenge commonly accepted assumptions concerning the role of consciousness in cognitive control. (shrink)

The latest volume in the critically acclaimed and highly influential Attention and Performance series focuses on a subject at the heart of psychological research into human performance - the interplay between perception and action. What are the mechanisms that translate the information we receive via our senses into physical actions? How do the mechanisms responsible for producing a response from a given stimulus operate? Recently, new perspectives have emerged, drawing on studies from neuroscience and neurophysiology. Within this volume, state of (...) the art and cutting edge research from leading scientists in cognitive psychology and cognitive neuroscience is presented describing the approaches being taken to understanding the mechanisms that allow us to negotiate and respond to the world around us. (shrink)

First, we discuss issues raised with respect to the Theory of Event Coding (TEC)'s scope, that is, its limitations and possible extensions. Then, we address the issue of specificity, that is, the widespread concern that TEC is too unspecified and, therefore, too vague in a number of important respects. Finally, we elaborate on our views about TEC's relations to other important frameworks and approaches in the field like stages models, ecological approaches, and the two-visual-pathways model. Footnotes1 We acknowledge the precedence (...) of both Freud¹s Instincts and Their Vicissitudes (1915) and Neisser¹s Stimulus Information and Its Vicissitudes (a term Neisser borrowed from Freud for his monograph “Cognitive psychology,” 1967). (shrink)

Traditional approaches to human information processing tend to deal with perception and action planning in isolation, so that an adequate account of the perception-action interface is still missing. On the perceptual side, the dominant cognitive view largely underestimates, and thus fails to account for, the impact of action-related processes on both the processing of perceptual information and on perceptual learning. On the action side, most approaches conceive of action planning as a mere continuation of stimulus processing, thus failing to account (...) for the goal-directedness of even the simplest reaction in an experimental task. We propose a new framework for a more adequate theoretical treatment of perception and action planning, in which perceptual contents and action plans are coded in a common representational medium by feature codes with distal reference. Perceived events (perceptions) and to-be-produced events (actions) are equally represented by integrated, task-tuned networks of feature codes – cognitive structures we call event codes. We give an overview of evidence from a wide variety of empirical domains, such as spatial stimulus-response compatibility, sensorimotor synchronization, and ideomotor action, showing that our main assumptions are well supported by the data. Key Words: action planning; binding; common coding; event coding; feature integration; perception; perception-action interface. (shrink)