Discovering causal relations and equations from data

G Camps-Valls, A Gerhardus, U Ninad, G Varando… - Physics Reports, 2023 - Elsevier
Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

Autonomous discovery in the chemical sciences part I: Progress

CW Coley, NS Eyke, KF Jensen - … Chemie International Edition, 2020 - Wiley Online Library
This two‐part Review examines how automation has contributed to different aspects of
discovery in the chemical sciences. In this first part, we describe a classification for …

[图书][B] 高级人工智能

史忠植, 师昌绪 - 1998 - ecsponline.com
本书共16 章. 第1~ 6 章讨论人工智能的认知问题和逻辑基础, 论述约束推理, 定性推理,
基于范例推理, 概率推理. 第7~ 13 章重点讨论机器学习, 包括归纳学习, 支持向量机, 解释学习 …

Dreamcoder: Bootstrapping inductive program synthesis with wake-sleep library learning

K Ellis, C Wong, M Nye, M Sablé-Meyer… - Proceedings of the …, 2021 - dl.acm.org
We present a system for inductive program synthesis called DreamCoder, which inputs a
corpus of synthesis problems each specified by one or a few examples, and automatically …

[图书][B] Post-truth: Knowledge as a power game

S Fuller - 2018 - rivisteweb.it
L'Oxford English Dictionary ha eletto «posttruth» neologismo dell'anno del 2016, in
concomitanza con la crisi politico-culturale del Brexit e l'insediamento di Trump alla Casa …

Building machines that learn and think like people

BM Lake, TD Ullman, JB Tenenbaum… - Behavioral and brain …, 2017 - cambridge.org
Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

[图书][B] The artist in the machine: The world of AI-powered creativity

AI Miller - 2019 - books.google.com
An authority on creativity introduces us to AI-powered computers that are creating art,
literature, and music that may well surpass the creations of humans. Today's computers are …

DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning

K Ellis, L Wong, M Nye… - … of the Royal …, 2023 - royalsocietypublishing.org
Expert problem-solving is driven by powerful languages for thinking about problems and
their solutions. Acquiring expertise means learning these languages—systems of concepts …

Probability of discoveries between research fields to explain scientific and technological change

M Coccia - Technology in Society, 2022 - Elsevier
One of the fundamental problems in science is the understanding of discovery and
innovation process to explain scientific and technological change in society. The study …

Machine learning as a tool for hypothesis generation

J Ludwig, S Mullainathan - The Quarterly Journal of Economics, 2024 - academic.oup.com
While hypothesis testing is a highly formalized activity, hypothesis generation remains
largely informal. We propose a systematic procedure to generate novel hypotheses about …