|
[1]
|
Turing, A.M. (1937) On Computable Numbers, with an Application to the Entscheidungs Problem. Proceedings of the London Mathematical Society, 42, 230-265. [Google Scholar] [CrossRef]
|
|
[2]
|
Newell, A., Shaw, J.C. and Simon, H.A. (1957) Empirical Explorations with the Logic Theory Machine: A Case Study in Heuristics. Proceedings of the Western Joint Computer Conference, New York, 26-28 February 1957, 15. [Google Scholar] [CrossRef]
|
|
[3]
|
Fan, J.T., Fang, L., Wu, J.M., et al. (2020) From Brain Science to Artificial Intelligence. Engineering, 6, 248-252. [Google Scholar] [CrossRef]
|
|
[4]
|
Savage, N. (2019) Marriage of Mind and Machine. Nature, 571, 15-17. [Google Scholar] [CrossRef] [PubMed]
|
|
[5]
|
Hoffmann, C.H. (2022) Is AI Intelligent? An Assessment of Artificial Intelligence, 70 Years after Turing. Technology in Society, 68, Article ID: 101893. [Google Scholar] [CrossRef]
|
|
[6]
|
Mira, J.M. (2008) Symbols versus Connections: 50 Years of Artificial Intelligence. Neurocomputing, 71, 671-680. [Google Scholar] [CrossRef]
|
|
[7]
|
Kasabov, N. (2019) Artificial Intelligence in the Age of Neural Networks and Brain Computing. Academic Press, Pittsburgh.
|
|
[8]
|
Zhang, C.M. and Lu, Y. (2021) Study on Artificial Intelligence: The State of the Art and Future Prospects. Journal of Industrial Information Integration, 23, Article ID: 100224. [Google Scholar] [CrossRef]
|
|
[9]
|
Shafiullah, M., Abido, M.A. and Al-Mohammed, A.H. (2022) Power System Fault Diagnosis. Elsevier, Amsterdam, 69-100. [Google Scholar] [CrossRef]
|
|
[10]
|
Dwivedi, Y.K., Hughes, L., et al. (2021) Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 57, Article ID: 101994. [Google Scholar] [CrossRef]
|
|
[11]
|
Garza-Ulloa, J. (2022) Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models. Academic Press, Pittsburgh. [Google Scholar] [CrossRef]
|
|
[12]
|
Kubassova, O., Shaikh, F., et al. (2021) Precision Medicine and Artificial Intelligence. Academic Press, Pittsburgh.
|
|
[13]
|
Macpherson, T., Churchland, A., Sejnowski, T., et al. (2021) Natural and Artificial Intelligence: A Brief Introduction to the Interplay between AI and Neuroscience Research. Neural Networks, 144, 603-613. [Google Scholar] [CrossRef] [PubMed]
|
|
[14]
|
Laberge, Y. (2008) The History of Cognitive Science and Artificial Intelligence. Journal of Chemical Neuroanatomy, 36, 264-265. [Google Scholar] [CrossRef]
|
|
[15]
|
Kumpulainen, S. and Terziyan, V. (2022) Artificial General Intelligence vs. Industry 4.0: Do They Need Each Other? Procedia Computer Science, 200, 140-150. [Google Scholar] [CrossRef]
|
|
[16]
|
Johnson, M., Albizri, A., Harfouche, A., et al. (2022) Integrating Human Knowledge into Artificial Intelligence for Complex and Ill-Structured Problems: Informed Artificial Intelligence. International Journal of Information Management, 64, Article ID: 102479. [Google Scholar] [CrossRef]
|
|
[17]
|
Dushkin, R.V. and Stepankov, V.Y. (2021) Hybrid Bionic Cognitive Architecture for Artificial General Intelligence Agents. Procedia Computer Science, 190, 226-230. [Google Scholar] [CrossRef]
|
|
[18]
|
Lampropoulos, G., Keramopoulos, E. and Diamantaras, K. (2020) Enhancing the Functionality of Augmented Reality Using Deep Learning, Semantic Web and Knowledge Graphs: A Review. Visual Informatics, 4, 32-42. [Google Scholar] [CrossRef]
|
|
[19]
|
Ruta, M. Scioscia, F., Bilenchi, I., et al. (2022) A Multiplatform Reasoning Engine for the Semantic Web of Everything. Journal of Web Semantics, 73, Article ID: 100709. [Google Scholar] [CrossRef]
|
|
[20]
|
Wagner, A., Bonduel, M., Pauwels, P. and Ruppel, U. (2020) Representing Construction-Related Geometry in a Semantic Web Context: A Review of Approaches. Automation in Construction, 115, Article ID: 103130. [Google Scholar] [CrossRef]
|
|
[21]
|
Lan, G.J., Liu, T., Wang, X., et al. (2022) A Semantic Web Technology Index. Scientific Reports, 12, Article No. 3672. [Google Scholar] [CrossRef] [PubMed]
|
|
[22]
|
Shirley, M., Rani, M., Thomas, P., et al. (2020) Transferring Structural Knowledge across Cognitive Maps in Humans and Models. Nature Communications, 11, Article No. 4783. [Google Scholar] [CrossRef] [PubMed]
|
|
[23]
|
Hendler, J. (2003) Science and the Semantic Web. Science, 299, 520-521. [Google Scholar] [CrossRef] [PubMed]
|
|
[24]
|
Zaki, J. and Ochsner, K.N. (2012) The Neuroscience of Empathy: Progress, Pitfalls and Promise. Nature Neuroscience, 15, 675-680. [Google Scholar] [CrossRef] [PubMed]
|
|
[25]
|
Panksepp, J. (2011) Behavior. Empathy and the Laws of Affect. Science, 334, 1358-1359. [Google Scholar] [CrossRef] [PubMed]
|
|
[26]
|
Decety, J. and Holvoet, C. (2021) The Emergence of Empathy: A Developmental Neuroscience Perspective. Developmental Review, 62, Article ID: 100999. [Google Scholar] [CrossRef]
|
|
[27]
|
Abhilash, M. and Santosh, K.M. (2019) A Comprehensive Survey of Recent Developments in Neuronal Communication and Computational Neuroscience. Journal of Industrial Information Integration, 13, 40-54. [Google Scholar] [CrossRef]
|
|
[28]
|
Lewin, R. (1980) Is Your Brain Really Necessary? Science, 210, 1232-1234. [Google Scholar] [CrossRef] [PubMed]
|
|
[29]
|
Roy, D.S., Park, Y.-G., Kim, M.E., et al. (2022) Brain-Wide Mapping Reveals that Engrams for a Single Memory Are Distributed across Multiple Brain Regions. Nature Communications, 13, Article No. 1799. [Google Scholar] [CrossRef] [PubMed]
|
|
[30]
|
Cohen, D., Nakai, T. and Nishimoto, S. (2022) Brain Networks Are Decoupled from External Stimuli during Internal Cognition. NeuroImage, 256, Article ID: 119230. [Google Scholar] [CrossRef] [PubMed]
|
|
[31]
|
Ram, V. and Pandey, L. (2008) Subjective Experiences of Space and Time: Self, Sensation, and Phenomenal Time. Nature Precedings.
|
|
[32]
|
Richards, B.A., Lillicrap, T.P., Beaudoin, P., et al. (2019) A Deep Learning Framework for Neuroscience. Nature Neuroscience, 22, 1761-1770. [Google Scholar] [CrossRef] [PubMed]
|
|
[33]
|
Goya-Martinez, M. (2016) In Emotions and Technology, Emotions, Technology, and Design. Academic Press, Pittsburgh.
|
|
[34]
|
Windridge, D. and Thill, S. (2018) Representational Fluidity in Embodied (Artificial) Cognition. Biosystems, 172, 9-17. [Google Scholar] [CrossRef] [PubMed]
|
|
[35]
|
Zhang, M. and Li, J.T. (2021) A Commentary of GPT-3 in MIT Technology Review 2021. Fundamental Research, 1, 831-833. [Google Scholar] [CrossRef]
|
|
[36]
|
Tang, P.C.L. (1999) A Review Essay: Recent Literature on Cognitive Science. The Social Science Journal, 36, 675-686. [Google Scholar] [CrossRef]
|
|
[37]
|
Shahriar, S. (2022) GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation Using Generative Adversarial Network. Displays, 73, Article ID: 102237. [Google Scholar] [CrossRef]
|
|
[38]
|
Seth, A.K. and Bayne, T. (2022) Theories of Consciousness. Nature Reviews Neuroscience, 23, 439-452. [Google Scholar] [CrossRef] [PubMed]
|