Online research in philosophy

This paper describes how meta-cognitive processes (i.e., the self monitoring and regulating of cognitive processes) may be captured within a cognitive architecture Clarion. Some currently popular cognitive architectures lack sufficiently complex built-in meta-cognitive mechanisms. However, a sufficiently complex meta-cognitive mechanism is important, in that it is an essential part of cognition and without it, human cognition may not function properly. We contend that such a meta-cognitive mechanism should be an integral part of a cognitive architecture. Thus such a mechanism has been developed within the Clarion cognitive architecture. The paper demonstrates how human data of two meta-cognitive experiments are simulated using Clarion. The simulations show that the meta-cognitive processes represented by the experimental data (and beyond) can be adequately captured within the Clarion framework.

To what extent can plants be considered cognitive from the perspective of embodied cognition? Cognition is interpreted very broadly within embodied cognition, and the current evidence for plant intelligence might find an important theoretical background here. However, embodied cognition does stress the presence of animal-like perception-action coupling as a key feature for cognitive systems to arise. In this paper, we discuss whether, or to what extent, plants may qualify as cognitive systems, given this criterion.

In earlier works, I have argued that it is useful to think of much scientific activity, particularly in experimental sciences, as involving the operation of distributed cognitive systems, as these are understood in the contemporary cognitive sciences. Introducing a notion of distributed cognition, however, invites consideration of whether, or in what way, related cognitive activities, such as knowing, might also be distributed. In this paper I will argue that one can usefully introduce a notion of distributed cognition without attributing other cognitive attributes, such as knowing, let alone having a mind or being conscious, to distributed cognitive systems. I will first briefly introduce the cognitive science understanding of distributed cognition, partly so as to distinguish full-blown distributed cognition from mere collective cognition.1.

Roughly speaking, computationalism says that cognition is computation, or that cognitive phenomena are explained by the agent‘s computations. The cognitive processes and behavior of agents are the explanandum. The computations performed by the agents‘ cognitive systems are the proposed explanans. Since the cognitive systems of biological organisms are their nervous 1 systems (plus or minus a bit), we may say that according to computationalism, the cognitive processes and behavior of organisms are explained by neural computations. Some people might prefer to say that cognitive systems are ―realized‖ by nervous systems, and thus that—according to computationalism—cognitive computations are ―realized‖ by neural processes. In this paper, nothing hinges on the nature of the relation between cognitive systems and nervous systems, or between computations and neural processes. For present purposes, if a neural process realizes a computation, then that neural process is a computation. Thus, I will couch much of my discussion in terms of nervous systems and neural computation.1 Before proceeding, we should dispense with a possible red herring. Contrary to a common assumption, computationalism does not stand in opposition to connectionism. Connectionism, in the most general and common sense of the term, is the claim that cognitive phenomena are explained (at some level and at least in part) by the processes of neural networks. This is a truism, supported by most neuroscientific evidence. Everybody ought to be a connectionist in this general sense. The relevant question is, are neural processes computations? More precisely, are the neural processes to be found in the nervous systems of organisms computations? Computationalists say ―yes‖, anti-computationalists say ―no‖. This paper investigates whether any of the arguments on offer against computationalism have a chance at knocking it off.2 Ever since Warren McCulloch and Walter Pitts (1943) first proposed it, computationalism has been subjected to a wide range of objections..

At issue is the usefulness of a concept of distributed cognition for the philosophy of science. I have argued for the desirability of regarding scientific systems such as the Hubble Space Telescope as distributed cognitive systems. But I disagree with those who would ascribe cognitive states, such as knowledge, to such systems as a whole, and insist that cognitive states are ascribable only to the human components of such systems. Vaesen, appealing to a well-known ?parity principle,? insists that if there is a distributed cognitive system, it must have cognitive states. Otherwise, we are left with only the cognitive states of individual humans who are then not part of a distributed cognitive system. I argue that Vaesen has misinterpreted the parity principle, which, in any case, I reject, and go on to argue for an understanding of scientific cognition as human centered even though not human bound.

This paper explores the relationship between several ideas about the mind and cognition. The hypothesis of extended cognition claims that cognitive processes can and do extend outside the head, that elements of the world around us can actually become parts of our cognitive systems. It has recently been suggested that the hypothesis of extended cognition is entailed by one of the foremost philosophical positions on the nature of the mind: functionalism, the thesis that mental states are defined by their functional relations rather than by their physical constituents. Furthermore, it has been claimed that functionalism entails a version of extended cognition which is sufficiently radical as to be obviously false. I survey the debate and propose several ways of avoiding this conclusion, emphasizing the importance of distinguishing the hypothesis of extended cognition from the related notion of the extended mind.

Lewis makes a strong case for the interdependence and integration of emotion and cognitive processes. Yet, these processes exhibit considerable independence in early life, as well as in certain psychopathological conditions, suggesting that the capacity for their integration emerges as a function of development. In some circumstances, the concept of highly interactive emotion and cognitive systems seems a viable alternative hypothesis to the idea of systems integration.

Traditional views separate cognitive processes from sensory–motor processes, seeing cognition as amodal, propositional, and compositional, and thus fundamentally different from the processes that underlie perceiving and acting. These were the ideas on which cognitive science was founded 30 years ago. However, advancing discoveries in neuroscience, cognitive neuroscience, and psychology suggests that cognition may be inseparable from processes of perceiving and acting. From this perspective, this study considers the future of cognitive science with respect to the study of cognitive development.