Imagen de Portada

Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Naser, M. Z.
Formato:	Preprint
Publicado:	2022
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Systematic Literature Review: Explainable AI Definitions and Challenges in Education
por: Altukhi, Zaid M., et al.
Publicado: (2025)

Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge
por: Hostetter, Haley, et al.
Publicado: (2024)

Heads or Tails: A Simple Example of Causal Abstractive Simulation
por: Simmons, Gabriel
Publicado: (2025)

Learning General Policies From Examples
por: Bonet, Blai, et al.
Publicado: (2025)

Token Economics for LLM Agents: A Dual-View Study from Computing and Economics
por: Chen, Yuxi, et al.
Publicado: (2026)

Causal Discovery in Recommender Systems: Example and Discussion
por: Cavenaghi, Emanuele, et al.
Publicado: (2024)

CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection
por: Li, Jindong, et al.
Publicado: (2024)

Making AI Intelligible: Philosophical Foundations
por: Cappelen, Herman, et al.
Publicado: (2024)

Abstaining Machine Learning -- Philosophical Considerations
por: Schuster, Daniela
Publicado: (2024)

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification
por: Hao, Zhifeng, et al.
Publicado: (2026)

The Philosophical Foundations of Growing AI Like A Child
por: Luo, Dezhi, et al.
Publicado: (2025)

Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study
por: Bansal, Kaushal
Publicado: (2026)

A Pragmatic View of AI Personhood
por: Leibo, Joel Z., et al.
Publicado: (2025)

On the Definition of Intelligence
por: Ng, Kei-Sing
Publicado: (2025)

Philosophical Specification of Empathetic Ethical Artificial Intelligence
por: Bennett, Michael Timothy, et al.
Publicado: (2021)

Going Whole Hog: A Philosophical Defense of AI Cognition
por: Cappelen, Herman, et al.
Publicado: (2025)

Understanding XAI Through the Philosopher's Lens: A Historical Perspective
por: Mattioli, Martina, et al.
Publicado: (2024)

Clinical Insights: A Comprehensive Review of Language Models in Medicine
por: Neveditsin, Nikita, et al.
Publicado: (2024)

The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations
por: Lehmann, Matthias
Publicado: (2024)

The Open Syndrome Definition
por: Ferreira, Ana Paula Gomes, et al.
Publicado: (2025)

Physics-Informed Causal MDPs for Sequential Constraint Repair in Engineering Simulation Pipelines
por: Qiao, Chuhan
Publicado: (2026)

A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection
por: Karathanasis, Andreas, et al.
Publicado: (2025)

CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
por: Xiao, Xiaofeng, et al.
Publicado: (2026)

How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning
por: Wang, Entang, et al.
Publicado: (2026)

Causal Software Engineering: A Vision and Roadmap
por: Pietrantuono, Roberto, et al.
Publicado: (2026)

A Review of Physics-based Machine Learning in Civil Engineering
por: Vadyala, Shashank Reddy, et al.
Publicado: (2021)

Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents
por: Naser, MZ, et al.
Publicado: (2026)

Multi-View Causal Representation Learning with Partial Observability
por: Yao, Dingling, et al.
Publicado: (2023)

A Definition of AGI
por: Hendrycks, Dan, et al.
Publicado: (2025)

Philosophy-informed Machine Learning
por: Naser, MZ
Publicado: (2025)

The AI Definition and a Program Which Satisfies this Definition
por: Dobrev, Dimiter
Publicado: (2022)

On the Use of a Large Language Model to Support the Conduction of a Systematic Mapping Study: A Brief Report from a Practitioner's View
por: Barros, Cauã Ferreira, et al.
Publicado: (2026)

A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View
por: Ma, Jing
Publicado: (2024)

Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
por: Cai, Ruichu, et al.
Publicado: (2024)

Imperceptible Adversarial Examples in the Physical World
por: Xu, Weilin, et al.
Publicado: (2024)

A Unifying View of Coverage in Linear Off-Policy Evaluation
por: Amortila, Philip, et al.
Publicado: (2026)

Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories
por: Jiang, Sunshine, et al.
Publicado: (2025)

A Causal Lens for Learning Long-term Fair Policies
por: Lear, Jacob, et al.
Publicado: (2025)

Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment
por: von Kügelgen, Julius
Publicado: (2024)

On the "Causality" Step in Policy Gradient Derivations: A Pedagogical Reconciliation of Full Return and Reward-to-Go
por: Siboni, Nima H.
Publicado: (2026)