Online research in philosophy

Theoretical gaps of the cognitive science. First of all the gap-thesis is based on a criticism 1. of the computer-orientated cognitive science (it confuses information with the information carrier), 2. of connectivism (its linguistic borrowing from the neurobiology is not appropriate), 3. of Varelas production model (the elimination of the function of representation results in the loss of the cognitive ability). From the context of meaning and time, then the author sketches a cognitive theoretical approach, in which thinking as a (symbolic and/or subsymbolic) representation of meaning is introduced, which develops in a three-digit relation between world, language and substrate on the basis of isomorphy of time.

The dynamical hypothesis is the claim that cognitive agents are dynamical systems. It stands opposed to the dominant computational hypothesis, the claim that cognitive agents are digital computers. This target article articulates the dynamical hypothesis and defends it as an open empirical alternative to the computational hypothesis. Carrying out these objectives requires extensive clarification of the conceptual terrain, with particular focus on the relation of dynamical systems to computers.

The notion of a "mental representation" is, arguably, in the first instance a theoretical construct of cognitive science. As such, it is a basic concept of the Computational Theory of Mind, according to which cognitive states and processes are constituted by the occurrence, transformation and storage (in the mind/brain) of information-bearing structures (representations) of one kind or another.

Patricia Smith Churchland's Neurophilosophy argues that a mind is the same thing as the complex patterns of neural activity in a human brain and, furthermore, that we will be able to find out interesting things about the mind by studying the brain. I basically agree with this stance and my comments are divided into four sections. First, comparisons between human and non?human primate brains are discussed in the context, roughly, of where one should locate higher functions. Second, I examine Churchland's views on reduction and levels of organization, which I find mostly congenial. Third, a key point of disagreement about the relationship and importance of language to specifically human cognition is taken up. I like Churchland's critique of certain sentential paradigms, but I try to show using an analogy with cellular coding systems why we need to get a better theory of ?sentences?. Finally, I discuss how the models introduced in the last chapter might be extended to make better contact with neurobiology and language.

Over the past few years numerous proposals have appeared that attempt to characterize consciousness in terms of what could be called its computational correlates: Principles of information processing with which to characterize the differences between conscious and unconscious processing. Proposed computational correlates include architectural specialization (such as the involvement of specific regions of the brain in conscious processing), properties of representations (such as their stability in time or their strength), and properties of specific processes (such as resonance, synchrony, interactivity, or information integration). In exactly the same way as one can engage in a search for the neural correlates of consciousness, one can thus search for the computational correlates of consciousness. The most direct way of doing is to contrast models of conscious versus unconscious information processing. In this paper, I review these developments and illustrate how computational modeling of specific cognitive processes can be useful in exploring and in formulating putative computational principles through which to capture the differences between conscious and unconscious cognition. What can be gained from such approaches to the problem of consciousness is an understanding of the function it plays in information processing and of the mechanisms that subtend it. Here, I suggest that the central function of consciousness is to make it possible for cognitive agents to exert ?exible, adaptive control over behavior. From this perspective, consciousness is best characterized as involving (1) a graded continuum de?ned over quality of representation, such that availability to consciousness and to cognitive control correlates with properties of representation, and (2) the implication of systems of meta-representations.

What role does the concept of representation play in the contexts of experimentation and explanation in cognitive neurobiology? In this article, a distinction is drawn between minimal and substantive roles for representation. It is argued by appeal to a case study that representation currently plays a role in cognitive neurobiology somewhere in between minimal and substantive and that this is problematic given the ultimate explanatory goals of cognitive neurobiological research. It is suggested that what is needed is for representation to instead play a more substantive role.