付録B:参考文献一覧
本書本文の各章末にある「参考文献」から、参照先を集約した一覧です。
文献
- Azevedo, F. A. C., et al. (2009). Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain.(関連:第1章)
- Baars, B. J. (1988). A cognitive theory of consciousness.(関連:第3章)
- Balasubramanian, V. (2021). Brain power. Proc Natl Acad Sci U S A, 118(32), e2107022118.(関連:第1章)
- Churchland, P. M. (1988). Matter and Consciousness.(関連:第1章)
- Cybenko, G. (1989). Approximation by superpositions of a sigmoidal function.(関連:第2章)
- Dennett, D. C. (1991). Consciousness Explained.(関連:第1章)
- European Commission. (2024). Regulatory framework proposal on artificial intelligence(AI Act).(関連:第5章) https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
- Franklin, S., et al. (2016). LIDA: A systems-level architecture for cognition.(関連:第3章)
- Hornik, K. (1991). Approximation capabilities of multilayer feedforward networks.(関連:第2章)
- Ishiguro, H. (2009). ロボットとは何か.(関連:第1章)
- International Energy Agency. (2025). Energy and AI.(関連:第1章・第5章) https://www.iea.org/reports/energy-and-ai
- Kaplan, J., et al. (2020). Scaling laws for neural language models.(関連:第3章)
- Hoffmann, J., et al. (2022). Training Compute-Optimal Large Language Models.(関連:第3章、Chinchilla)
- ISO/IEC. (2023). ISO/IEC 42001 Artificial intelligence - Management system.(関連:第5章) https://www.iso.org/standard/42001
- NIST. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0).(関連:第5章) https://www.nist.gov/itl/ai-risk-management-framework
- OpenAI. (n.d.). Learning to reason with LLMs.(関連:第3章、アクセス日:2026-03-01)
- Schaeffer, R., et al. (2023). Are Emergent Abilities of Large Language Models a Mirage?(関連:第3章)
- Siegelmann, H. T. (1995). Computation beyond the Turing limit.(関連:第2章)
- Tononi, G. (2008). Consciousness as integrated information.(関連:第3章)
- Turing, A. M. (1950). Computing Machinery and Intelligence.(関連:第1章)
- Valiant, L. (1984). A theory of the learnable.(関連:第1章・第2章)
- Watanabe, M. (2017). 脳の意識 機械の意識.(関連:第1章)
- Wei, J., et al. (2022). Emergent abilities of large language models.(関連:第3章)
- Wu, Y., Sun, Z., Li, S., Welleck, S., Yang, Y. (2024). Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.(関連:第3章)