The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Assessing Artificial Intelligence: A Critique of Pure Computationalism
Open accessAbstract
The evolution of artificial intelligence (AI), grounded in computationalism, has achieved significant milestones, enabling machines to perform tasks like language processing and problem-solving. However, computationalism, which views intelligence as entirely computational, is a reductionist framework that fails to account for critical aspects of human cognition, such as consciousness, creativity, emotional engagement, and ethical reasoning. This paper critiques these limitations and examines intelligence dimensions—contextual reasoning, emotional intelligence, and moral understanding—highlighting gaps in current AI systems. Drawing from non-physicalist perspectives found in philosophical and cultural traditions, the discussion challenges the adequacy of reductionist approaches in capturing the depth of human cognition. By exploring the theoretical boundaries of computability and the scope of AI, the paper underscores the need for frameworks that transcend computation.
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“However, there is practically no research on integrating AI into library processes [1,12].”
From Contemporary approaches to integrating AI agents into library information processes (2025) · cites this paper as [12]
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Research works printed but not linked: 6
- [1]1. Ackerman, E. (2014, October). Can Winograd Schemas Replace Turing Test for Defining Human- level AI? IEEE Spectrum. Retrieved from https://spectrum.ieee.org
- [2]2. Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
- [3]3. Chalmers, D. J. (1996). The Conscious Mind: In Search of a Fundamental Theory. Oxford University Press.
- [5]5. Davis, M. (1958). Computability and Unsolvability. McGraw-Hill. (Later reprinted by Dover Publications in 1982).
- [6]6. Floridi, L. (2019). The Ethics of Artificial Intelligence. Springer.
- [13]13. Turing, A. M. (1936). On computable numbers, with an application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, 2(42), 230-265. https://doi.org/10.1112/plms/s2- 42.1.230 · DOI
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Contemporary approaches to integrating AI agents into library information processes
Sokil, M., & Andrukhiv, A. (2025) · Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska · doi:10.35784/iapgos.6897 · Cited by 2
Metadata
- Authors
- Tekinerdogan, B.
- ORCID
- Tekinerdogan, Bedir
- Publisher
- Center for Open Science
- Published
- 2024-12-05
- OpenAlex
- W4405059528
- Cited by
- 1
- References
- 0
- Citations by year
- 2025: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- OSF Preprints (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Keywords
- artificial intelligence, computational theory of mind, critique of reductionism, human cognition, consciousness, creativity, emotional intelligence, moral understanding, contextual reasoning, non-physicalism, philosophy of mind
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