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Vehicles of Consciousness

Abstract

Despite its puzzling and elusive nature, contemporary theories almost universally associate consciousness with the vehicles that are used to represent information in the brain. To

Key takeaways
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  1. Cognitive science posits consciousness arises from the operations over representing vehicles in the brain.
  2. Process theories focus on computational processes of representing vehicles, emphasizing their function rather than form.
  3. Global Workspace Theory suggests consciousness emerges when information gains access to a global brain workspace.
  4. Vehicle theories emphasize the intrinsic properties of representing vehicles, leveraging neurobiological insights for explanations.
  5. Connectionism may help clarify which physical states in the brain serve as representing vehicles for cognition.
Vehicles of Consciousness Gerard O’Brien and Jon Opie Discipline of Philosophy University of Adelaide South Australia 5005 [email protected] http://arts.adelaide.edu.au/humanities/gobrien/ [email protected] http://arts.adelaide.edu.au/humanities/jopie/ Forthcoming in The Oxford Companion to Consciousness (Oxford University Press) Despite its puzzling and elusive nature, contemporary theories almost universally associate consciousness with the vehicles that are used to represent information in the brain. To understand this tactic one must appreciate the connection between a widespread intuition about consciousness, on the one hand, and the computational approach to cognition, on the other. The pertinent intuition is that conscious experiences are typically “about something”. Right now, for example, you are aware of the shapes and meanings of these words. But you can easily shift your attention to ambient sounds, the position of your legs, or your plans for the rest of the day. In each case, your conscious experience is directed at some feature of the world, your body, or yourself. One natural way to characterise this intuition is to say that conscious experiences are representations in that they always convey information of some kind. [Representation] Cognitive science treats cognitive processes as computations. To explain cognition is thus to model the information processing going on in the brain. For information to be processed it must take some physical form, that is, a computational system must contain representing vehicles: physical states that carry information in or to the system (commonplace examples of representing vehicles include speech sounds, text, and photographs). Put in these terms, the foundational claim of cognitive science is that cognitive processes are disciplined operations over representing vehicles of some kind. There is an obvious confluence between the intuition and the computational framework. Conscious experiences are representations—they are information bearers. Cognition, according to cognitive science, consists of processes defined over representing vehicles. It is thus natural to suppose that conscious experiences are somehow associated with the representing vehicles on Vehicles of Consciousness 2 which cognitive processes operate, and that the contents of consciousness are among the information carried by those vehicles. [Consciousness, Contents of] Regarding this much there is some consensus, but when it comes to formulating a detailed theory of consciousness two quite distinct strategies have emerged. One approach focuses on the computational processes in which representing vehicles engage (call these process theories), the other on structural or dynamical properties of the representing vehicles themselves (call these vehicle theories). Process theories currently dominate the theoretical landscape. According to the most popular of these, informational contents enter consciousness when they gain competitive access to a global workspace, permitting them to be broadcast throughout the brain (Baars 1997). [Global Workspace Theory] On the alternative higher-order thought (HOT) theory, the content of a representing vehicle becomes conscious when it is the target of a second-order representation (Rosenthal 1997). The common thread here is that, of all the representing vehicles present in the brain, only those caught up in specific kinds of computational processes − such as global broadcasting or internal monitoring − contribute to conscious experience. Process theories focus on what representing vehicles do, rather than what they are. A process theory is thus a species of metaphysical functionalism about consciousness: conscious states arise when representing vehicles enter into certain causal (i.e., computational) relations, without regard to the physical structure or internal dynamics of those representations. A vehicle theory, by contrast, is overtly non-functionalist, because it identifies conscious experiences with intrinsic properties of the brain’s representing medium. In accounting for the rich structure of experience, vehicle theorists can avail themselves of the full range of properties revealed by neurobiology and biophysics. For example, it has been conjectured that the phenomenal unity of perceptual objects arises from the dynamic binding of feature-specific cells via the transient synchronization of their discharges (Singer 2001), and that the intensity or “degree” of some kinds of experience may be determined by the size of dynamic, large-scale neuronal assemblies (Greenfield & Collins 2005). Such hypotheses are not available to process theorists because their medium-neutral models are necessarily couched in terms of causal-cum-computational relations among mental representing vehicles. A problem for vehicle theorists is that, in the absence of a fully fledged account of cognition, it is extremely difficult to identify which of the various kinds of physical states in the brain are in the representing business. One way forward is offered by connectionism, a computational theory Vehicles of Consciousness 3 of cognition grounded in specific claims about the nature of the brain’s representing vehicles. [Connectionism] Connectionists draw a distinction between information encoded in the synaptic connections between neurons (or more generally, in the organization of the brain), and information transiently encoded in patterns of neural firing activity. Such patterns are presumed to represent only a fraction of the information tied up in the long-term structure of the brain, and some theorists have suggested that the contents of consciousness correspond to information encoded in this way (Lloyd 1999, O’Brien & Opie 1999). References Baars, B. J. (1997) In the Theatre of Consciousness: Global Workspace Theory, A Rigorous Scientific Theory of Consciousness, Journal of Consciousness Studies 4(4): 292-309. Greenfield, S. A. & Collins, T. F. T. (2005) A neuroscientific approach to consciousness. In S. Laureys, ed., Progress in Brain Research 150: 11-23. Lloyd, D. (1991) Leaping to conclusions: Connectionism, consciousness, and the computational mind. In T. Horgan & J. Tienson, eds., Connectionism and the Philosophy of Mind, Kluwer. O'Brien, G. & Opie, J. (1999) A Connectionist Theory of Phenomenal Experience. Target Article in Behavioral and Brain Sciences 22: 127-48. Rosenthal, D. (1997) A Theory of Consciousness, In: The Nature of Consciousness: Philosophical Debates, eds., N. Block, O. Flanagan, and G. Güzeldere, Cambridge, MA: MIT Press, pp. 729- 53. Singer, W. (2001) Consciousness and the Binding Problems, Annals of the New York Academy of Sciences 929: 123-46.

References (6)

  1. Baars, B. J. (1997) In the Theatre of Consciousness: Global Workspace Theory, A Rigorous Scientific Theory of Consciousness, Journal of Consciousness Studies 4(4): 292-309.
  2. Greenfield, S. A. & Collins, T. F. T. (2005) A neuroscientific approach to consciousness. In S. Laureys, ed., Progress in Brain Research 150: 11-23.
  3. Lloyd, D. (1991) Leaping to conclusions: Connectionism, consciousness, and the computational mind. In T. Horgan & J. Tienson, eds., Connectionism and the Philosophy of Mind, Kluwer.
  4. O'Brien, G. & Opie, J. (1999) A Connectionist Theory of Phenomenal Experience. Target Article in Behavioral and Brain Sciences 22: 127-48.
  5. Rosenthal, D. (1997) A Theory of Consciousness, In: The Nature of Consciousness: Philosophical Debates, eds., N. Block, O. Flanagan, and G. Güzeldere, Cambridge, MA: MIT Press, pp. 729- 53.
  6. Singer, W. (2001) Consciousness and the Binding Problems, Annals of the New York Academy of Sciences 929: 123-46.

FAQs

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What distinguishes process theories from vehicle theories in consciousness studies?add

Process theories emphasize the computational roles of representing vehicles, while vehicle theories focus on their intrinsic properties. This distinction highlights differing metaphysical approaches to understanding consciousness.

How does Global Workspace Theory contribute to understanding consciousness?add

Global Workspace Theory posits that conscious contents emerge when they gain access to a brain-wide network. This access allows for the broadcasting of information, thereby facilitating conscious experience.

What role do neural assemblies play in perceptual experience according to vehicle theories?add

Vehicle theories suggest that the phenomenal unity of perceptual objects arises from synchronized discharges of feature-specific neurons. Additionally, the intensity of experiences is hypothesized to correlate with the scale of neuronal assemblies.

What are the implications of computational theories for cognitive processes?add

Computational theories frame cognitive processes as operations over representing vehicles, emphasizing their information-bearing qualities. This perspective aligns cognitive science with broader computational frameworks integral to understanding brain function.

What challenges do vehicle theorists face in identifying representing states in the brain?add

Vehicle theorists struggle to specify which brain states serve as effective representing vehicles without a comprehensive account of cognition. This limitation complicates efforts to connect physical states with conscious experience.

About the authors
University of Adelaide, Faculty Member
University of Adelaide, Faculty Member