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Global workspace theory

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Global workspace theory (GWT) is a framework for thinking about consciousness proposed by cognitive scientists Bernard Baars and Stan Franklin in the late 1980s. It was developed to qualitatively account for a large set of matched pairs of conscious and unconscious processes. GWT has been influential in modeling consciousness and higher-order cognition as emerging from competition and integrated flows of information across widespread, parallel neural processes.

GWT analogizes the mind to a theater, with conscious thought being like material illuminated on the main stage. The brain contains many specialized processes or modules that operate in parallel, much of which is unconscious. Attention acts as a spotlight, bringing some of this unconscious activity into conscious awareness on the global workspace. The global workspace is a functional hub of broadcast and integration that allows information to be disseminated across modules. As such it can be classified as a functionalist theory of consciousness.

When sensory input, memories, or internal representations are given attention, they become part of the global workspace and can then be operated on by a variety of processes. As elements compete for attention, the ones that win are granted entry to the global workspace, allowing their information to be distributed and coordinated across the whole cognitive system.

GWT resembles the concept of working memory and is proposed to correspond to a 'momentarily active, subjectively experienced' event in working memory. It facilitates top-down control of attention, working memory, planning, and problem-solving through this information sharing.

In the 'theater of consciousness', a 'spotlight of selective attention' shines a bright spot on stage, revealing the contents of consciousness. Behind the scenes, in the dark, are the director (executive processes), stagehands, scriptwriters, scene designers, and the like. They shape the visible activities in the bright spot but are themselves invisible.

While aspects of GWT are matters of debate, it remains a focus of current research, including brain interpretations and computational simulations. It serves as a central information exchange, rather than a locus of cognition itself, enabling different specialized brain networks to interact and supporting integrated and adaptive responses.

Bernard Baars derived inspiration for the theory as the cognitive analog of the blackboard system of early artificial intelligence system architectures, where independent programs shared information.

Global Workspace Theory is one of the leading theories of consciousness.

The model

GWT involves a fleeting memory with a duration of a few seconds (much shorter than the 10–30 seconds of classical working memory). GWT contents are proposed to correspond to what we are conscious of, and are broadcast to a multitude of unconscious cognitive brain processes, which may be called receiving processes. Other unconscious processes, operating in parallel with limited communication between them, can form coalitions which can act as input processes to the global workspace. Since globally broadcast messages can evoke actions in receiving processes throughout the brain, the global workspace may be used to exercise executive control to perform voluntary actions. Individual as well as allied processes compete for access to the global workspace, striving to disseminate their messages to all other processes in an effort to recruit more cohorts and thereby increase the likelihood of achieving their goals. Incoming stimuli need to be stored temporarily in order to be able to compete for attention and conscious access. Kouider and Dehaene predicted the existence of a sensory memory buffer that maintains stimuli for "a few hundreds of milliseconds." Recent research offers preliminary evidence for such a buffer store and indicates a gradual but rapid decay with extraction of meaningful information severely impaired after 300 ms and most data being completely lost after 700 ms.

Baars (1997) suggests that the global workspace "is closely related to conscious experience, though not identical to it." Conscious events may involve more necessary conditions, such as interacting with a "self" system, and an executive interpreter in the brain, such as has been suggested by a number of authors including Michael S. Gazzaniga.

Nevertheless, GWT can successfully model a number of characteristics of consciousness, such as its role in handling novel situations, its limited capacity, its sequential nature, and its ability to trigger a vast range of unconscious brain processes. Moreover, GWT lends itself well to computational modeling. Stan Franklin's IDA model is one such computational implementation of GWT. See also Dehaene et al. (2003), Shanahan (2006) and Bao (2020).

GWT also specifies "behind the scenes" contextual systems, which shape conscious contents without ever becoming conscious, such as the dorsal cortical stream of the visual system. This architectural approach leads to specific neural hypotheses. Sensory events in different modalities may compete with each other for consciousness if their contents are incompatible. For example, the audio and video track of a movie will compete rather than fuse if the two tracks are out of sync by more than 100 ms., approximately. The 100 ms time domain corresponds closely with the known brain physiology of consciousness, including brain rhythms in the alpha-theta-gamma domain, and event-related potentials in the 200-300 ms domain.

However, much of this research is based on studies of unconscious priming and recent studies show that many of the methods used for unconscious priming are flawed.

Global neuronal workspace

Main article: Dehaene–Changeux model

Stanislas Dehaene extended the global workspace with the "neuronal avalanche" showing how sensory information gets selected to be broadcast throughout the cortex. Many brain regions, the prefrontal cortex, anterior temporal lobe, inferior parietal lobe, and the precuneus all send and receive numerous projections to and from a broad variety of distant brain regions, allowing the neurons there to integrate information over space and time. Multiple sensory modules can therefore converge onto a single coherent interpretation, for example, a "red sports car zooming by". This global interpretation is broadcast back to the global workspace creating the conditions for the emergence of a single state of consciousness, at once differentiated and integrated.

Alternatively, the theory of practopoiesis suggests that the global workspace is achieved in the brain primarily through fast adaptive mechanisms of nerve cells. According to that theory, connectivity does not matter much. Critical is rather the fact that neurons can rapidly adapt to the sensory context within which they operate. Notably, for achieving a global workspace, the theory presumes that these fast adaptive mechanisms have the capability to learn when and how to adapt.

Criticism

J. W. Dalton has criticized the global workspace theory on the grounds that it provides, at best, an account of the cognitive function of consciousness, and fails even to address the deeper problem of its nature, of what consciousness is, and of how any mental process whatsoever can be conscious: the hard problem of consciousness. A. C. Elitzur has argued, however, "While this hypothesis does not address the 'hard problem', namely, the very nature of consciousness, it constrains any theory that attempts to do so and provides important insights into the relation between consciousness and cognition.", as much as any consciousness theory is constrained by the natural brain perception limitations.

New work by Richard Robinson shows promise in establishing the brain functions involved in this model and may help shed light on how we understand signs or symbols and reference these to our semiotic registers.

See also

References

  1. Baars, Bernard. "Syllabus for Consciousness: The Web Course" (PDF). Retrieved 2023-07-30.
  2. Baars, Bernard J. (1988). A Cognitive Theory of Consciousness. Cambridge University Press. p. 345 https://philpapers.org/rec/BAAACT. ISBN 0521427436.
  3. What a contest of consciousness theories really proved | Quanta Magazine. (2023, August 25). Quanta Magazine. https://www.quantamagazine.org/what-a-contest-of-consciousness-theories-really-proved-20230824/?mc_cid=5deb95548f&mc_eid=6c6f9a489d
  4. Zimmer, C. (2023, July 1). 2 Leading theories of consciousness square off. The New York Times. https://www.nytimes.com/2023/07/01/science/consciousness-theories.html
  5. "Neuroscientist loses a 25-year bet on consciousness — to a philosopher". Big Think. 2023-07-12. Retrieved 2023-11-17.
  6. Finkel, E. (2023, June 25). The search for the neural basis of consciousness yields first results. Science, 372(6543), 1520–1524. Retrieved from https://www.science.org/content/article/search-neural-basis-consciousness-yields-first-results
  7. Maillé, Sébastien; Lynn, Michael (2020-03-04). "Reconciling Current Theories of Consciousness". Journal of Neuroscience. 40 (10): 1994–1996. doi:10.1523/JNEUROSCI.2740-19.2020. ISSN 0270-6474. PMC 7055139. PMID 32132221.
  8. ^ Kouider, Sid; Dehaene, Stanislas (2007-05-29). "Levels of processing during non-conscious perception: a critical review of visual masking". Philosophical Transactions of the Royal Society B: Biological Sciences. 362 (1481): 857–875. doi:10.1098/rstb.2007.2093. ISSN 0962-8436. PMC 2430002. PMID 17403642.
  9. Pang, Damian K. F.; Elntib, Stamatis (2021-05-13). "Strongly masked content retained in memory made accessible through repetition". Scientific Reports. 11 (1): 10284. Bibcode:2021NatSR..1110284P. doi:10.1038/s41598-021-89512-w. ISSN 2045-2322. PMC 8119432. PMID 33986370.
  10. Robinson R (2009) Exploring the "Global Workspace" of Consciousness. PLoS Biol 7(3): e1000066. doi:10.1371/journal.pbio.1000066
  11. Meyen, S., Zerweck, I. A., Amado, C., von Luxburg, U., & Franz, V. H. (2021, July 15). Advancing Research on Unconscious Priming: When Can Scientists Claim an Indirect Task Advantage?. Journal of Experimental Psychology: General. Advance online publication. http://dx.doi.org/10.1037/xge0001065
  12. Dehaene, Stanislas (2015). Consciousness and the Brain. Viking. pp. 161, 177. ISBN 978-0670025435.
  13. Danko Nikolić (2015). "Practopoiesis: Or how life fosters a mind". Journal of Theoretical Biology. 373: 40–61. arXiv:1402.5332. Bibcode:2015JThBi.373...40N. doi:10.1016/j.jtbi.2015.03.003. PMID 25791287. S2CID 12680941.
  14. Dalton, J. W. The unfinished theatre, JCS, 4 (4), 1997, pp. 316-18
  15. Elitzur, A. C. Why don't we know what Mary knows? Baars' reversing the problem of qualia. JCS, 4 (4), 1997, pp.319-24
  16. Robinson, Richard (2009). "Exploring the "Global Workspace" of Consciousness". PLOS Biology. 7 (3): e1000066. doi:10.1371/journal.pbio.1000066. PMC 2656553. PMID 20076729.{{cite journal}}: CS1 maint: unflagged free DOI (link)

Further reading

  • Baars, Bernard J. (1988), A Cognitive Theory of Consciousness (Cambridge, MA: Cambridge University Press)
  • Baars, Bernard J. (1997), In the Theater of Consciousness (New York, NY: Oxford University Press)
  • Baars, Bernard J. (2002) The conscious access hypothesis: Origins and recent evidence. Trends in Cognitive Sciences, 6 (1), 47–52.
  • Baars, Bernard J. (2017). "The Global Workspace Theory of Consciousness: Predictions and Results". In Schneider, Susan; Velmans, Max (eds.). The Blackwell Companion to Consciousness (2nd ed.). Wiley-Blackwell. pp. 227–242. doi:10.1002/9781119132363.ch16. ISBN 978-0-470-67406-2.
  • Blackmore, Susan (2002). There is no stream of consciousness. Journal of Consciousness Studies 9. 5-6
  • Blackmore, Susan (2004). Why Global Workspace Theory cannot explain consciousness(2004) Presentation.
  • Blackmore, Susan (2005). Conversations on consciousness (Oxford : Oxford University Press)
  • Damasio, A.R. (1989). Time-locked multiregional retroactivation: A systems-level proposal for the neural substrates of recall and recognition. Cognition 33. 1-2:25-62.
  • Dehaene, S., Sergent, C. and Changeux, J.-P. (2003). A neuronal network model linking subjective reports and objective physiological data during conscious perception. Proc. National Academy of Science (USA) 100. 14: 8520–8525.
  • Metzinger, T. (ed) (2000). Neural Correlates of Consciousness: Empirical and Conceptual Questions. MIT Press.
  • Shanahan, M.P. (2006). A cognitive architecture that combines internal simulation with a global workspace. Consciousness and Cognition 15: 433–449.
  • Bao, C., Fountas, Z., Olugbade, T. and Bianchi-Berthouze, N. (2020). Multimodal Data Fusion based on the Global Workspace Theory. arXiv preprint arXiv:2001.09485.

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