▙參考書目

Ali, Mohamad Abou, and F. Dornaika. 2025. “Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions.” Artificial Intelligence Review 59. https://doi.org/10.1007/s10462-025-11422-4.

Apriyani, M., and S. Patmanthara. 2025. “A Conceptual Framework for Human AI Collaboration: Ontological and Epistemological Perspectives.” ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK, ahead of print. https://doi.org/10.51747/energy.si2025.251.

Assran, Mahmoud, Quentin Duval, Ishan Misra, et al. 2023. “Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15619–29. https://doi.org/10.1109/CVPR52729.2023.01499.

Beer, Stafford. 1985;2007. Diagnosing the System for Organizations. Repr. The Managerial Cybernetics of Organization. Wiley.

Beer, Stafford. 1972. Brain of the Firm: A Development in Cybernetics. Herder and Herder. https://books.google.com?id=T_A9AAAAIAAJ.

Beer, Stafford. 1979. The Heart of Enterprise. John Wiley & Sons. https://www.wiley.com/en-us/the-heart-of-enterprise-p-9780471948377.

Black, Kevin, Noah Brown, Danny Driess, et al. 2024. “π₀: A Vision-Language-Action Flow Model for General Robot Control.” arXiv.org, October 31. https://arxiv.org/abs/2410.24164v4.

Bottini, Roberto, and Christian F. Doeller. 2020. “Knowledge Across Reference Frames: Cognitive Maps and Image Spaces.” Trends in Cognitive Sciences 24 (8): 606–19. https://doi.org/10.1016/j.tics.2020.05.008.

Brooks, Rodney A. 1991. “Intelligence Without Representation.” Artificial Intelligence 47: 139–59. https://doi.org/10.1016/0004-3702(91)90053-M.

Cesario, Joseph, David J. Johnson, and Heather L. Eisthen. 2020. “Your Brain Is Not an Onion With a Tiny Reptile Inside.” Current Directions in Psychological Science 29 (3): 255–60. https://doi.org/10.1177/0963721420917687.

Chaudhari, Shreyas, Pranjal Aggarwal, Vishvak Murahari, et al. 2025. “RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs.” ACM Computing Surveys 58 (2): 53:1–37. https://doi.org/10.1145/3743127.

Clark, Andy. 1997. Being There: Putting Brain, Body, and World Together Again. MIT Press.

Dahlgren Lindström, Adam, Leila Methnani, Lea Krause, et al. 2025. “Helpful, Harmless, Honest? Sociotechnical Limits of AI Alignment and Safety Through Reinforcement Learning from Human Feedback.” Ethics and Information Technology 27 (2): 28. https://doi.org/10.1007/s10676-025-09837-2.

De Ruiter, Jan, Gavin Weston, and Stephen M. Lyon. 2011. “Dunbar’s Number: Group Size and Brain Physiology in Humans Reexamined.” American Anthropologist 113 (4): 557–68. https://doi.org/10.1111/j.1548-1433.2011.01369.x.

Dellaferrera, Giorgia, Stanislaw Wozniak, Giacomo Indiveri, A. Pantazi, and E. Eleftheriou. 2022. “Introducing Principles of Synaptic Integration in the Optimization of Deep Neural Networks.” Nature Communications 13. https://doi.org/10.1038/s41467-022-29491-2.

Deutsch, Karl Wolfgang. 1966. The Nerves of Government: Models of Political Communication and Control. Free Press. https://books.google.com?id=1A2CAAAAMAAJ.

Doroudi, Shayan. 2023. “What Happened to the Interdisciplinary Study of Learning in Humans and Machines?” Journal of the Learning Sciences 32 (4–5): 663–81. https://doi.org/10.1080/10508406.2023.2260159.

Dunbar, Robin I. M. 2014. “The Social Brain: Psychological Underpinnings and Implications for the Structure of Organizations.” Current Directions in Psychological Science 23 (2): 109–14. https://doi.org/10.1177/0963721413517118.

Evans, Jonathan St. B. T. 2008. “Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition.” Annual Review of Psychology 59 (1): 255–78. https://doi.org/10.1146/annurev.psych.59.103006.093629.

Evans, Jonathan St. B. T., and Keith E. Stanovich. 2013. “Dual-Process Theories of Higher Cognition: Advancing the Debate.” Perspectives on Psychological Science 8 (3): 223–41. https://doi.org/10.1177/1745691612460685.

Feng, Tongtong, Xin Wang, Yu-Gang Jiang, and Wenwu Zhu. 2025. “Embodied AI: From LLMs to World Models.” IEEE Circuits and Systems Magazine 25: 14–37. https://doi.org/10.1109/mcas.2025.3603693.

Francis, Ann Mary, and Rojalin Patri. 2026. “Agentic AI as a Dynamic Capability in Operational Excellence 5.0: Advancing SDG Performance in Ibero-American Operations.” International Journal of Lean Six Sigma, July 14, 1–32. https://doi.org/10.1108/IJLSS-02-2026-0097.

Frankish, Keith. 2010. “Dual‐Process and Dual‐System Theories of Reasoning.” Philosophy Compass 5 (10): 914–26. https://doi.org/10.1111/j.1747-9991.2010.00330.x.

Friston, Karl, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, and Josh Tenenbaum. 2021. “World Model Learning and Inference.” Neural Networks 144 (December): 573–90. https://doi.org/10.1016/j.neunet.2021.09.011.

Gao, Leo, John Schulman, and Jacob Hilton. 2023. “Scaling Laws for Reward Model Overoptimization.” Proceedings of the 40th International Conference on Machine Learning (ICML), Proceedings of machine learning research, vol. 202: 10835–66. https://proceedings.mlr.press/v202/gao23h.html.

González Barman, Kristian, Simon Lohse, and Henk W. de Regt. 2025. “Reinforcement Learning from Human Feedback in LLMs: Whose Culture, Whose Values, Whose Perspectives?” Philosophy & Technology 38 (2): 35. https://doi.org/10.1007/s13347-025-00861-0.

Gupta, Agrim, Silvio Savarese, Surya Ganguli, and Li Fei-Fei. 2021. “Embodied Intelligence via Learning and Evolution.” Nature Communications 12 (1): 5721. https://doi.org/10.1038/s41467-021-25874-z.

Halvagal, Manu S., and Friedemann Zenke. 2023. “The Combination of Hebbian and Predictive Plasticity Learns Invariant Object Representations in Deep Sensory Networks.” Nature Neuroscience 26: 1906–15. https://doi.org/10.1038/s41593-023-01460-y.

Happé, Francesca, Jennifer L. Cook, and Geoffrey Bird. 2017. “The Structure of Social Cognition: In(ter)dependence of Sociocognitive Processes.” Annual Review of Psychology 68 (1): 243–67. https://doi.org/10.1146/annurev-psych-010416-044046.

Harnad, Stevan. 1990. “The Symbol Grounding Problem.” Physica D: Nonlinear Phenomena 42: 335–46. https://doi.org/10.1016/0167-2789(90)90087-6.

Huhns, M. N., and M. P. Singh. 1997. “Ontologies for Agents.” IEEE Internet Computing 1 (6): 81–83. https://doi.org/10.1109/4236.643942.

Jurisica, Igor, John Mylopoulos, and Eric Yu. 2004. “Ontologies for Knowledge Management: An Information Systems Perspective.” Knowledge and Information Systems 6 (4): 380–401. https://doi.org/10.1007/s10115-003-0135-4.

Kim, Moo Jin, Karl Pertsch, Siddharth Karamcheti, et al. 2025. “OpenVLA: An Open-Source Vision-Language-Action Model.” Proceedings of The 8th Conference on Robot Learning, January 12, 2679–713. https://proceedings.mlr.press/v270/kim25c.html.

Kirk, Hannah Rose, Iason Gabriel, Chris Summerfield, Bertie Vidgen, and Scott A. Hale. 2025. “Why Human–AI Relationships Need Socioaffective Alignment.” Humanities and Social Sciences Communications 12 (1): 728. https://doi.org/10.1057/s41599-025-04532-5.

Kless, Daniel, Simon Milton, and Edmund Kazmierczak. 2012. “Relationships and Relata in Ontologies and Thesauri: Differences and Similarities.” Applied Ontology 7 (4): 401–28. https://doi.org/10.3233/AO-2012-0118.

Krishna, Ranjay, Donsuk Lee, Li Fei-Fei, and Michael S. Bernstein. 2022. “Socially Situated Artificial Intelligence Enables Learning from Human Interaction.” Proceedings of the National Academy of Sciences 119 (39): e2115730119. https://doi.org/10.1073/pnas.2115730119.

LeCun, Yann. 2022. “A Path Towards Autonomous Machine Intelligence (Version 0.9.2).” OpenReview Archive. https://openreview.net/forum?id=uIJfvA3nl4.

Leisman, Gerry, Raymond Roy, and Rahela Alfasi. 2026. “Perception as Self-Organizing Interaction: Embodied Cognition, Artificial Intelligence, and Autism.” Frontiers in Psychology 17 (March): 1803234. https://doi.org/10.3389/fpsyg.2026.1803234.

Liu, Huaping, Di Guo, and Angelo Cangelosi. 2025. “Embodied Intelligence: A Synergy of Morphology, Action, Perception and Learning.” ACM Computing Surveys 57 (7): 1–36. https://doi.org/10.1145/3717059.

Liu, Yang, Weixing Chen, Yongjie Bai, et al. 2025. “Aligning Cyber Space With Physical World: A Comprehensive Survey on Embodied AI.” IEEE/ASME Transactions on Mechatronics 30 (6): 7253–74. https://doi.org/10.1109/TMECH.2025.3574943.

Liu, Yuhan Helena, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric SheaBrown, and Guillaume Lajoie. 2024. “How Connectivity Structure Shapes Rich and Lazy Learning in Neural Circuits.” International Conference on Learning Representations 2024 (May): 5188–202. https://proceedings.iclr.cc/paper_files/paper/2024/hash/1596a1eb4e0c47b729572d0c5751a15a-Abstract-Conference.html.

Lu, Yikang, A. Aleta, Chunpeng Du, Lei Shi, and Yamir Moreno. 2024. “LLMs and Generative Agent-Based Models for Complex Systems Research.” Physics of Life Reviews 51: 283–93. https://doi.org/10.1016/j.plrev.2024.10.013.

Ma, Yueen, Zixing Song, Yuzheng Zhuang, Jianye Hao, and Irwin King. 2024. “A Survey on Vision–Language–Action Models for Embodied AI.” IEEE Transactions on Neural Networks and Learning Systems 37: 3031–51. https://doi.org/10.1109/tnnls.2025.3650584.

Mittal, Saurabh, and Larry Rainey. 2015. “Harnessing Emergence: The Control and Design of Emergent Behavior in System of Systems Engineering.” Proceedings of the Conference on Summer Computer Simulation (San Diego, CA, USA), SummerSim ’15, July 26, 1–10. https://dl.acm.org/doi/10.5555/2874916.2874979.

Moskovitz, Ted, Aaditya K. Singh, DJ Strouse, et al. 2024. “Confronting Reward Model Overoptimization with Constrained RLHF.” The Twelfth International Conference on Learning Representations (ICLR). https://openreview.net/forum?id=gkfUvn0fLU.

Ohmae, Shogo, and Keiko Ohmae. 2026. “Brain-AI Convergence: Generative World Models and Hierarchical Attention for Human Intelligence.” Patterns 7 (8): 101593. https://doi.org/10.1016/j.patter.2026.101593.

Patterson, David, Joseph Gonzalez, Quoc Le, et al. 2021. “Carbon Emissions and Large Neural Network Training.” Pre-published April 23. https://doi.org/10.48550/arXiv.2104.10350.

Pedreschi, Dino, Luca Pappalardo, Emanuele Ferragina, et al. 2025. “Human-AI Coevolution.” Artificial Intelligence 339 (February): 104244. https://doi.org/10.1016/j.artint.2024.104244.

Pfeifer, Rolf, and Josh Bongard. 2006. How the Body Shapes the Way We Think. MIT Press.

Piccinini, Gualtiero. 2022. “Situated Neural Representations: Solving the Problems of Content.” Frontiers in Neurorobotics 16 (April). https://doi.org/10.3389/fnbot.2022.846979.

Puerta-Beldarrain, Maite, Oihane Gómez-Carmona, Rubén Sánchez-Corcuera, Diego Casado-Mansilla, Diego López-de-Ipiña, and Liming Chen. 2025. “A Multifaceted Vision of the Human-AI Collaboration: A Comprehensive Review.” IEEE Access 13: 29375–405. https://doi.org/10.1109/ACCESS.2025.3536095.

Russell, Stuart J., and Peter Norvig. 2021. Artificial Intelligence: A Modern Approach. 4th ed. Pearson.

Sadegh-Zadeh, Seyed-Ali, Mahboobe Bahrami, Ommolbanin Soleimani, and Sahar Ahmadi. 2024. “Neural Reshaping: The Plasticity of Human Brain and Artificial Intelligence in the Learning Process.” American Journal of Neurodegenerative Disease 13 (5): 34–48. https://doi.org/10.62347/NHKD7661.

Samsi, Siddharth, Dan Zhao, Joseph McDonald, et al. 2023. “From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.” 2023 IEEE High Performance Extreme Computing Conference (HPEC), September, 1–9. https://doi.org/10.1109/HPEC58863.2023.10363447.

Schroeder, Ralph. 1992. Max Weber and the Sociology of Culture. SAGE Publications.

Schroeder, Ralph. 2007. Rethinking Science, Technology, and Social Change: Ralph Schroeder. Stanford university press.

Schubert, Lenhart K. 1990. “Monotonic Solution of the Frame Problem in the Situation Calculus: An Efficient Method for Worlds with Defaults.” In Philosophy and AI. https://doi.org/10.1007/978-94-009-0553-5_2.

Schurz, Matthias, Joaquim Radua, Matthias G. Tholen, et al. 2021. “Toward a Hierarchical Model of Social Cognition: A Neuroimaging Meta-Analysis and Integrative Review of Empathy and Theory of Mind.” Psychological Bulletin 147 (3): 293–327. https://doi.org/10.1037/bul0000303.

Shoham, Yoav. 1987. “What Is the Frame Problem.” In Artificial Intelligence and Philosophy. https://doi.org/10.1016/b978-0-934613-32-3.50005-8.

Spicer, Jake, and Adam N Sanborn. 2019. “What Does the Mind Learn? A Comparison of Human and Machine Learning Representations.” Current Opinion in Neurobiology, Machine Learning, Big Data, and Neuroscience, vol. 55 (April): 97–102. https://doi.org/10.1016/j.conb.2019.02.004.

Subramoney, Anand, Guillaume Bellec, Franz Scherr, Robert Legenstein, and Wolfgang Maass. 2024. “Fast Learning Without Synaptic Plasticity in Spiking Neural Networks.” Scientific Reports 14. https://doi.org/10.1038/s41598-024-55769-0.

Taniguchi, Tadahiro, Yasushi Hirai, Masahiro Suzuki, Shingo Murata, Takato Horii, and Kazutoshi Tanaka. 2025. “System 0/1/2/3: Quad-Process Theory for Multitimescale Embodied Collective Cognitive Systems.” Artificial Life 31 (4): 465–96. https://doi.org/10.1162/ARTL.a.12.

Taufer, Michela, Chandra Krintz, Elizabeth Bradley, et al. 2026. “Balancing Sustainable Computing and Computing for Sustainability.” Communications of the ACM, August 17, 3786358. https://doi.org/10.1145/3786358.

Teece, David J. 2009. Dynamic Capabilities and Strategic Management: Organizing for Innovation and Growth. Oxford University Press USA - OSO.

Teece, David J., Gary Pisano, and Amy Shuen. 1997. “Dynamic Capabilities and Strategic Management.” Strategic Management Journal 18 (7): 509–33. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z.

Treiman, Lauren S., Chien-Ju Ho, and Wouter Kool. 2024. “The Consequences of AI Training on Human Decision-Making.” Proceedings of the National Academy of Sciences 121 (33): e2408731121. https://doi.org/10.1073/pnas.2408731121.

Vickery, B. C. 1997. “Ontologies.” Journal of Information Science 23 (4): 277–86. https://doi.org/10.1177/016555159702300402.

Vyas, Saurabh, Matthew D. Golub, David Sussillo, and Krishna V. Shenoy. 2020. “Computation Through Neural Population Dynamics.” Annual Review of Neuroscience 43: 249–75. https://doi.org/10.1146/annurev-neuro-092619-094115.

World Labs. 2026. “World Labs — Spatial Intelligence.” World Labs is a spatial intelligence company, building frontier models that can perceive, generate,; interact with the 3D world. https://worldlabs.ai.

Wu, Yao, Yu Long, Chenyu Xie, and Jingkun Bi. 2026. “How AI Matters for Competitive Advantage: A Managerial Cognition Perspective on Managing the Triple Role of AI and Dynamic Capabilities.” Journal of Business Research 216 (November): 116413. https://doi.org/10.1016/j.jbusres.2026.116413.

Ye, Shijie. 2025. “From Turing Models to Large Language Models: Evolution and Convergence of Symbolic and Connectionist Approaches in Artificial Intelligence.” Highlights in Science, Engineering and Technology, ahead of print. https://doi.org/10.54097/m92y8a35.

Yuan, Jingshu, Kexin Zhai, Hongxin Li, and Man Yuan. 2025. “Research on the Construction and Mapping Model of Knowledge Organization System Driven by Standards.” Computer Standards & Interfaces 92 (March): 103905. https://doi.org/10.1016/j.csi.2024.103905.

Zeng, Marcia Lei. 2008. “Knowledge Organization Systems (KOS).” Knowledge Organization 35 (2–3): 160–82. https://www.inlibra.com/document/download/pdf/uuid/5c7f73d1-98f4-3808-97ce-69ff0cbacabb.

Zhou, Wei-Xing, D. Sornette, R. A. Hill, and Robin I. M. Dunbar. 2004. “Discrete Hierarchical Organization of Social Group Sizes.” Proceedings of the Royal Society B: Biological Sciences 272 (1561): 439–44. https://doi.org/10.1098/rspb.2004.2970.

Zhu, Banghua, Michael Jordan, and Jiantao Jiao. 2023. “Principled Reinforcement Learning with Human Feedback from Pairwise or k-Wise Comparisons.” In Proceedings of the 40th International Conference on Machine Learning, edited by Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, and Jonathan Scarlett, vol. 202. Proceedings of Machine Learning Research. PMLR. https://proceedings.mlr.press/v202/zhu23f.html.

Zhu, Jun, and Hang Su. 2023. “Toward the Third Generation Artificial Intelligence.” Science China Information Sciences 66: 1–19. https://doi.org/10.1007/s11432-021-3449-x.

Zitkovich, Brianna, Tianhe Yu, Sichun Xu, et al. 2023. “RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.” Proceedings of The 7th Conference on Robot Learning, December 2, 2165–83. https://proceedings.mlr.press/v229/zitkovich23a.html.

Zou, Huiwen, Ka Ian Chan, Patrick Pang, Blandina Manditereza, and Yi-Huang Shih. 2026. “To Use but Not to Depend: Pedagogical Novelty and the Cognitive Brake of Ethical Awareness in Computer Science Students’ Adoption of Generative AI.” Education Sciences 16 (2): 311. https://doi.org/10.3390/educsci16020311.

三宅∙陽一郎（Youichiro　Miyake）. 2017. 從人到人工智慧，破解AI革命的68個核心概念：實戰專家全圖解X人腦不被電腦淘汰的關鍵思考. 臉譜.