Can AI Help Us to Understand Belief? Sources, Advances, Limits, and Future Directions.
DOI:
https://doi.org/10.9781/ijimai.2021.08.003Keywords:
Artificial Intelligence, Beliefs, Religion, Computational Model, AI LimitsAbstract
The study of belief is expanding and involves a growing set of disciplines and research areas. These research programs attempt to shed light on the process of believing, understood as a central human cognitive function. Computational systems and, in particular, what we commonly understand as Artificial Intelligence (AI), can provide some insights on how beliefs work as either a linear process or as a complex system. However, the computational approach has undergone some scrutiny, in particular about the differences between what is distinctively human and what can be inferred from AI systems. The present article investigates to what extent recent developments in AI provide new elements to the debate and clarify the process of belief acquisition, consolidation, and recalibration. The article analyses and debates current issues and topics of investigation such as: different models to understand belief, the exploration of belief in an automated reasoning environment, the case of religious beliefs, and future directions of research.
Downloads
References
A. Newen, L. de Bruin, and S. Gallagher, Eds., The Oxford Handbook of 4e Cognition, Oxford, U.K.: Oxford University Press, 2018, doi: 10.1093/oxfordhb/9780198735410.013.45.
G. Tononi et al. “Integrated Information Theory: From Consciousness to Its Physical Substrate,” Nature Reviews Neuroscience, vol. 17, pp. 450-461, 2016, doi: 10.1038/nrn.2016.44.
M. Hoffmann and R. Pfeifer, “Robots as Powerful Allies for the Study of Embodied Cognition from the Bottom Up,” in The Oxford Handbook of 4e Cognition, A. Newen, L. de Bruin, and S. Gallagher, Eds., Oxford, U.K.: Oxford University Press, 2018, pp. 841-862, doi: 10.1093/oxfordhb/9780198735410.013.45.
R. Manzotti, “Embodied AI beyond Embodied Cognition and Enactivism,” Philosophies, vol. 4, no. 3, 2019. Accessed: Aug. 1, 2021. [Online]. Available: https://www.mdpi.com/2409-9287/4/3/39
M. Ayers and M. R. Antognazza, “Knowledge and Belief from Plato to Locke,” in M. Ayers, Knowing and Seeing: Groundwork for a New Empiricism, Oxford, U.K.: Oxford University Press, 2019, ch. 1, pp. 3-33, doi: 10.1093/oso/9780198833567.003.0001.
L Eriksson and A Háyek,“What Are Degrees of Belief?,” Studia Logica, vol. 86, pp. 183-213, 2007, doi: 10.1007/s11225-007-9059-4.
F. Huber, “Belief and Degrees of Belief,” in Degrees of Belief, F. Huber and C. Smith-Petri, Eds., Berlin/Heidelberg, Germany: Springer, 2009, ch. 1, pp. 1-33, doi: 10.1007/978-1-4020-9198-8.
T. Williamson, Knowledge and Its Limits, Oxford, U.K.: Oxford University Press, 2002, doi: 10.1093/019925656X.001.0001.
M. Schulz, “Strong Knowledge, Weak Belief?,” Synthese, 2021. Accessed: Aug. 1, 2021. [Online]. Available: https://link.springer.com/article/10.1007/s11229-021-03180-x
F. V. Jensen, An Introduction to Bayesian Networks, London, U.K.: UCL Press, 1996.
J. Fodor, The Mind Doesn’t Work that Way, Cambridge, MA, USA: MIT Press, 2000.
R. Swinburne, The Existence of God, 2nd ed., Oxford, U.K.: Oxford University Press, 2004, doi: 10.1093/acprof:oso/9780199271672.001.0001.
W. Spohn, The Laws of Belief: Ranking Theory and Its Philosophical Applications, Oxford, U.K.: Oxford University Press, 2014, doi: 10.1093/acprof:oso/9780199697502.001.0001.
M. Smith, Between Probability and Certainty: What Justifies Belief. Oxford, U.K.: Oxford University Press, 2016, doi: 10.1093/acprof:oso/9780198755333.001.0001.
H. Leitgeb, The Stability of Belief: How Rational Belief Coheres with Probability. Oxford, U.K.: Oxford University Press, 2017, doi: 10.1093/acprof:oso/9780198732631.001.0001.
L. Moretti, Seemings and Epistemic Justification: How Appearances Justify Beliefs, Cham, Switzerland: Springer, 2020, doi: 10.1007/978-3-030-43392-5.
H. F. Angel, “Religiosität als menschliches Potential. Ein anthropologisches Modell der Religiosität im neurowissenschaftlichen Horizont,” in Religiosität: Anthropologische, theologische und sozialwissenschaftliche Klärungen, H. F. Angel et al., Eds., Stuttgart, Germany: Kohlhammer, 2006, ch. 5, pp. 62-89.
H. F. Angel, L. Oviedo, R. F. Paloutzian, A. L. Runehov, and R. J. Seitz, Processes of Believing: The Acquisition, Maintenance, and Change in Creditions, Cham, Switzerland: Springer, 2017, doi: 10.1007/978-3-319- 50924-2.
M. H. Connors, P. W. Halligan, “A Cognitive Account of Belief: A Tentative Roadmap,” Frontiers in Psychology, vol. 5, 2015. Accessed: Aug. 1, 2021. [Online]. Available: https://www.frontiersin.org/articles/10.3389/fpsyg.2014.01588/full
R. D. Castillo, H. Kloos, M. J. Richardson, and T. Waltzer, “Beliefs as Self-Sustaining Networks: Drawing Parallels Between Networks of Ecosystems and Adults’ Predictions,” Frontiers in Psychology, vol. 6, 2015. Accessed: Aug. 1, 2021. [Online]. Available: https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01723/full
S. Lumbreras and L. Oviedo, “Belief Networks as Complex Systems,” Limina: Grazer theologische Perspektiven, vol. 3, no. 2, pp. 92-108, 2020, doi: 10.25364/17.3:2020.2.5.
A. Smith, Thinking about Religion: Extending the Cognitive Sciences of Religion, Basingstoke, U.K.: Palgrave MacMillan, 2014, doi: 10.1057/9781137324757.
S. Donaldson, Dimensions of Faith: Understanding Faith Through the Lens of Science and Religion, Eugene, OR, USA: Wipf & Stock, 2015, doi: 10.1111/heyj.13085.
H. F. Angel and R. J. Steiz, “Process of Believing as Fundamental Brain Function: The Concept of Credition,” Research Bulletin of the Sigmund Freud PrivatUniversität Wien, vol. 3 no. 1, 2016, doi: 10.15135/2016.4.1.1- 20.
M. Sugiura, R. J. Seitz, H. F. Angel, “Models and Neural Bases of the Believing Process,” Journal of Behavioral and Brain Science, vol. 5, no. 1, pp. 12-23, 2015, doi: 10.4236/jbbs.2015.51002.
J. Ladyman, J. Lambert, K. Wiesner, “What is a Complex System?,” European Journal for Philosophy of Science, vol. 3, pp. 33–67, 2013. doi:10.1007/s13194-012-0056-8.
M. Mitchell, Complexity: A Guided Tour, Oxford, U.K.: Oxford University Press, 2011.
J. D. Frank, “Nature and Functions of Belief Systems: Humanism and Transcendental Religion,” American Psychologist, vol. 32, no. 7, pp. 555–559, 1977, doi: 10.1037/0003-066X.32.7.555.
J. Crocker, S. T. Fiske, and S. E. Taylor, “Schematic Bases of Belief Change,” in Attitudinal Judgment, J. R. Eiser, Ed., Springer Series in Social Psychology, New York, NY, USA: Springer, 1984 pp. 197-226, doi: 10.1007/978-1-4613-8251-5_10.
N. Rodriguez, J. Bollen, and Y. Y. Ahn, “Collective Dynamics of Belief Evolution Under Cognitive Coherence and Social Conformity,” PloS One, vol. 11, no. 11, 2016. Accessed: Aug. 1, 2021. [Online]. Available: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0165910
B. Sodian, D. Zaitchik, and S. Carey, “Young Children’s Differentiation of Hypothetical Beliefs from Evidence,” Child Development, vol. 62, no. 4, pp. 753-766, 1991, doi: 10.1111/j.1467-8624.1991.tb01567.x.
G. Pennycook, J. A. Cheyne, P. Seli, D. J. Koehler, and J. A. Fugelsang, “Analytic Cognitive Style Predicts Religious and Paranormal Belief,” Cognition, vol. 123, no. 3, pp. 335-346, 2012, doi: 10.1016/j.cognition.2012.03.003.
K. Toner, M. R. Leary, M. W. Asher, and K. P. Jongman-Sereno, “Feeling Superior is a Bipartisan Issue: Extremity (Not Direction) of Political Views Predicts Perceived Belief Superiority,” Psychological Science, vol. 24, no. 12, pp. 2454-2462, 2013, doi: 10.1177/0956797613494848.
T. Ruffman, J. Perner, and L. Parkin, “How Parenting Style Affects False Belief Understanding,” Social Development, vol. 8, no. 3, pp. 395-411, 1999, doi: 10.1111/1467-9507.00103.
K. Jones, “Some Epistemological Considerations of Paradigm Shifts: Basic Steps Towards a Formulated Model of Alternation,” The Sociological Review, vol. 25, no. 2, pp. 253-272, 1977, doi: 10.1111/j.1467-954X.1977.tb00289.x.
B. Goertzel, “Belief Systems as Attractors,” in Chaos Theory in Psychology and the Life Sciences, R. Robertson and A. Combs, Eds., New York, NY, USA: Psychology Press, 1995, ch. 9, pp. 123-134, doi: 10.4324/9781315806280.
A. Fuentes, Why We Believe: Evolution and the Human Way of Being, New Haven, CT, USA: Yale University Press, 2019.
B. Cantwell Smith, The Promise of Artificial Intelligence: Reckoning and Judgement, Cambridge, MA, USA: MIT Press, 2019, doi: 10.7551/mitpress/12385.001.0001.
D. McDermott, “Artificial Intelligence and Consciousness,” in The Cambridge Handbook of Consciousness, P. D. Zelazo, M. Moscovitch, and E. Thompson, Eds., Cambridge, U.K.: Cambridge University Press, 2007, ch. 6, pp. 117-150, doi: 10.1017/CBO9780511816789.007.
S. Lumbreras, Respuestas al transhumanismo: cuerpo, autenticidad y sentido, Madrid: Digital Reason, 2020.
M. Daňková and L Běhounek, “Fuzzy Neighborhood Semantics for Multiagent Probabilistic Reasoning in Games,” in Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, Communications in Computer and Information Science, vol 1239, M.- J. Lesot et al., Eds., Cham, Switzerland: Springer, 2020, pp. 680-693, doi: 10.1007/978-3-030-50153-2_50.
J. Hintikka, Knowledge and Belief: An Introduction to the Logic of the Two Notions, 2nd ed., V. F. Hendriks and J. Symons, Eds., London, U.K.: College Publications, 1962.
R. Rendsvig, J. Symons, “Epistemic Logic,” Stanford Encyclopedia of Phlosophy, E. N. Zalta, Ed., 2021. Accessed: Aug. 1, 2021. [Online]. Available: https://plato.stanford.edu/archives/sum2021/entries/logicepistemic/
Y. Ding, “On the Logic of Belief and Propositional Quantification,” Journal of Philosophical Logic, 2021, doi: 10.1007/s10992-021-09595-8.
D. Perlis, “The Role(s) of Belief in AI,” in Logic-Based Artificial Intelligence, J. Minker, Ed., Boston, MA, USA: Springer, 2000, pp. 361-374, doi: 10.1007/978-1-4615-1567-8_16.
A. Baltag, B. Renne, “Dynamic Epistemic Logic,” Stanford Encyclopedia of Philosophy, E. N. Zalta, Ed., 2016. Accessed: Aug. 1, 2021. [Online]. Available: https://plato.stanford.edu/archives/win2016/entries/dynamicepistemic/
C. Benzmüller, “Combining and Automating Classical and Non-Classical Logics in Classical Higher-Order Logics,” Annals of Mathematics and Artificial Intelligence, vol. 62, no. 1, pp. 103-128, 2011, doi: 10.1007/s10472-011-9249-7.
T. Chen, G. Primiero, F. Raimondi, and N. Rungta, “A Computationally Grounded, Weighted Doxastic Logic,” Studia Logica, vol. 104, pp. 679–703, 2016, doi: 10.1007/s11225-015-9621-4.
K. Bansal, S. M. Loos, M. N. Rabe, C. Szegedy, and S. Wilcox, “HOList: An Environment for Machine Learning of Higher-Order Theorem Proving,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, 2019. Accessed: Aug.1, 2021. [Online]. Available: http://proceedings.mlr.press/v97/bansal19a/bansal19a.pdf
J. Leach, Mathematics and Religion: Our Languages of Sign and Symbol, West Conshohocken, PA, USA: Templeton Press, 2010.
B. Fitelson and E. N. Zalta, “Steps Towards a Computational Metaphysics,” Journal of Philosophical Logic, vol. 36, pp. 227-247, 2007, doi: 10.1007/s10992-006-9038-7.
P. Oppenheimer and E. N. Zalta, “A Computationally-Discovered Simplification of the Ontological Argument,” Australasian Journal of Philosophy, vol. 89, no. 2, pp. 333–350, 2011, doi: 10.1080/00048401003674482.
P. Oppenheimer and E. N. Zalta, “On Anselm’s Ontological Argument in Proslogion II,” submitted for publication.
C. Benzmüller and D. Fuenmayor, “Computer-Supported Analysis of Positive Properties, Ultrafilters and Modal Collapse in Variants of Gödel’s Ontological Argument,” Bulletin of the Section of Logic, vol. 49, no. 2, 2020, doi:10.18778/0138-0680.2020.08.
C. Benzmüller and D. Fuenmayor, “Can Computers Help to Sharpen Our Understanding of Ontological Arguments?” Mathematics and Reality, Proceedings of the 11th All India Students’ Conference on Science Spiritual Quest, IIT Bhubaneswar, Bhubaneswar, India, 6-7 October, 2018, pp. 195-226, doi: 10.13140/RG.2.2.31921.84323.
E. N. Zalta, Abstract Objects: An Introduction to Axiomatic Metaphysics, Dordrecht: D. Reidel, 1983. Available: http://mally.stanford.edu/abstractobjects.pdf
E. N. Zalta, Principia Logico-Metaphysica, 2021, unpublished. Accessed: Aug. 1, 2021. [Online]. Available: http://mally.stanford.edu/principia.pdf
A. Vestrucci, “Metalanguage and Revelation: Rethinking Theology’s Language and Relevance,” Logica Universalis, special issue “Theological Discourse and Logic”, S. Krajewski and M. Trepczyński, Eds., vol. 13, no. 4, pp. 551–575, 2019, doi: 10.1007/s11787-019-00236-y.
L. Buchak, “Faith and Steadfastness in the Face of Counter-Evidence,” International Journal of Philosophy of Religion, vol. 81, pp. 113–133, 2017, doi: 10.1007/s11153-016-9609-7.
L. Buchak, “Can It Be Rational to Have Faith?,” in Probability in the Philosophy of Religion, J. Chandler and V. S. Harrison, Eds., Oxford, U.K.: Oxford University Press, 2012, ch. 12, pp. 225-246, doi: 10.1093/acprof:oso/9780199604760.003.0012.
M. Calder et al., “Computational Modelling for Decision-Making: Where, Why, What, Who and How,” Royal Society Open Science, 2018. Accessed: Aug. 1, 2021. [Online]. Available: https://royalsocietypublishing.org/doi/10.1098/rsos.172096
R. F. Hadley, “The Many Uses of ‘Belief’ in AI,” Minds and Machines, vol. 1, pp. 55-73, 1991.
L. Oviedo and K. Szocik, “Religious–And Other Beliefs: How Much Specificity?” SAGE Open, January 2020. Accessed: Aug. 1, 2021. [Online]. Available: https://journals.sagepub.com/doi/full/10.1177/2158244019898849
O. D. Crisp and M. C. Rea, Eds., Analytic Theology: New Essays in the Philosophy of Theology. Oxford, U.K.: Oxford University Press, 2009, doi: 10.1093/acprof:oso/9780199203567.001.0001.
O. D. Crisp, “Analytic Theology,” The Expository Times, vol. 122, no. 10, pp. 469–477, 2011, doi: 10.1177/0014524611408533.
A. Vestrucci, “Computational Theology and Natural Theology,” presented at the 2021 conference of the Ian Ramsey Center Natural Theology in the 21st Century, University of Oxford, Oxford, U.K., 15-17 July 2021.
L. Obadia, “Moral and Financial Economics of ‘Digital Magic’: Explorations of an Opening Field,” Social Compass, vol. 67, no. 4, pp. 534- 552, 2020, doi: 10.1177/0037768620950237.
V. S. Harrison, “Internal Realism and the Problem of Religious Diversity,” Philosophia, vol. 34, no. 3, pp. 287-301, 2006, doi: 10.1007/s11406-006-9029-5.
K. Schilbrack, Philosophy and the Study of Religions: A Manifesto, New York, NY, USA: Wiley Blackwell, 2014.
V. S. Harrison, “Mathematical Objects and the Object of Theology,” Religious Studies, vol. 53, no. 4, pp. 479-496, 2017, doi: 10.1017/S0034412516000238.
Downloads
Published
- 
			Abstract155
 - 
                                        							PDF60
 
						
							





