Online research in philosophy

The phenomenological goal of grounding the content of conceptual thought in the background understanding of everyday, skillful coping was approached using evolutionary autonomous agent (EAA) methodology. The behavior of an EAA evolved to perform a specified motor task was identified with skillful coping. Changes in the dynamics of the EAA controller occurred when the EAA encountered an unexpected obstacle with loss of longer time scale components in its hierarchical temporal organization. These temporal (...) changes are consistent with the phenomenological changes which we experience with breakdown during equipment use with our adoption of a more immediate, determinate stance. Since this latter experience is the basis of conceptual thought, the EAA paradigm goes some way in providing a naturalized explanation for the grounding of the content of conceptual thought in everyday, skillful coping in a manner that is physiologically plausible and phenomenologically accurate. (shrink)

SmartData is a research program to develop web-based intelligent agents that will perform two tasks: securely store an individual’s personal and/or proprietary data, and protect the privacy and security of the data by only disclosing it in accordance with instructions authorized by the data subject. The vision consists of a web-based SmartData agent that would serve as an individual’s proxy in cyberspace to protect their personal or proprietary data. The SmartData agent (which ‘houses’ the data and its permitted uses) would (...) be transmitted to, or stored in a database, not the personal data itself. In effect, there would be no personal or proprietary raw data out in the open—it would instead be housed within a SmartData agent, much like we humans carry information in our heads; extending the analogy, it would be the human-like clone that would be transmitted or stored, not the raw data. The binary string representative of a SmartData agent would be located in local or central databases. Organizations requiring access to any of the data resident within the agent would query it once it had been activated. In this paper, we provide a preliminary overview of the SmartData concept, and describe the associated research and development that must be conducted in order to actualize this vision. (shrink)

Both cognitive science and phenomenology accept the primacy of the organism-environment system and recognize that cognition should be understood in terms of an embodied agent situated in its environment. How embodiment is seen to shape our world, however, is fundamentally different in these two disciplines. Embodiment, as understood in cognitive science, reduces to a discussion of the consequences of having a body like ours interacting with our environment and the relationship is one of contingent causality. Embodiment, as understood phenomenologically, represents (...) the condition of intelligibility of certain terms in our experience and, as such, refers to one aspect of that background which presupposes our understanding of the world. The goals and approach to modeling an embodied agent in its environment are also fundamentally different dependent on which relationship is addressed. These differences are highlighted and are used to support our phenomenologically based approach to organism-environment interaction and its relationship to brain function. (shrink)

Current cognitive science models of perception and action assume that the objects that we move toward and perceive are represented as determinate in our experience of them. A proper phenomenology of perception and action, however, shows that we experience objects indeterminately when we are perceiving them or moving toward them. This indeterminacy, as it relates to simple movement and perception, is captured in the proposed phenomenologically based recurrent network models of brain function. These models provide a possible foundation from which (...) predicative structures may arise as an emergent phenomenon without the positing of a representing subject. These models go some way in addressing the dual constraints of phenomenological accuracy and neurophysiological plausibility that ought to guide all projects devoted to discovering the physical basis of human experience. (shrink)

Drawing upon the work of Merleau-Ponty, Borrett et al. (2000) have attempted to model the primordial, "empty heads turned towards the world." Putting the issue of embodiment aside for another day, they propose two separate models, one of movement and the other of perception. While I am sympathetic to the point of their project, I argue in this commentary that their models are insufficiently vague. The following analytic abstractions to which they commit themselves seem seriously at odds with the (...) nature of their task: action versus perception; vision versus the other senses; spatial properties versus, for example, colour and meaning; and 'a controller' versus the body and its environment. (shrink)

Borrett, Kelly, and Kwan follow the lead of Merleau-Ponty and develop a theory of neural-network modeling that emerges out of what they find wrong with current approaches to thought and action. Specifically, they take issue with "cognitivism" and its tendency to model cognitive agents as controlling, representational systems. While attempting to make the point that pre-predicative experience/action/place (i.e. grasping) involves neither representation nor control, the authors imply that control-theoretic concepts and representationalism necessarily go hand-in-hand. The purpose of the present (...) paper is to demonstrate that this is not the case. Rather, it will be argued that such necessity is only assumed because the authors attempt to apply the control theory of servo-mechanisms to the behavior of organisms. By adopting this engineering control-theoretic perspective, the authors are led, as are most of the cognitivists with whom they disagree, to overlook critical aspects of how it is that biological systems do what they do. It is the ignoring of these critical aspects of biological control, due to the acceptance of an engineering approach to control, that makes it appear as though control theory and representationalism necessarily go hand-in-hand. (shrink)

Borrett, Kelly and Kwan [(2000) Phenomenology, dynamical neural networks and brain function, Philosophical Psychology, 13, 000-000] claim that unbiased, self-evident, direct description is possible, and may supply the data that brain theories account for. Merleau-Ponty's [(1962) Phenomenology of perception, London: Routledge] description of Schneider's apraxia is offered as a case in point. According to the authors, Schneider's apraxia justifies brain components (...) of predicative and pre-predicative experience. The description derives from a bias, however, that parallels modularity's morphological reduction. The presence of biasing presuppositions contradicts the goal of direct description. Moreover, the authors' brain account is not necessary to explain Schneider's apraxia, and morphological reduction is not sufficient to explain emergent phenomena of motor control. (shrink)