Unverified60% confidenceFactExact time
The concept of world models was systematically articulated as early as 1943 by Kenneth Craik in The Nature of Explanation, and was later integrated into the field of reinforcement learning.
2
Sources
60%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
Related Claims
VerifiedThe 2018 paper "World Models" by David Ha and Jürgen Schmidhuber formally introduced the concept of world models into the field of deep learning.70% similarVerifiedThe concept of world models originates from cognitive science and reinforcement learning, strongly promoted by Yann LeCun and others, referring to an agent's internal representation of the external environment.70% similarUnverifiedScholé Scenarios 的核心理念是「Learn by doing」（在实践中学习），把真实世界应用场景嵌入自适应学习流程65% similarVerifiedDavid Ha and Schmidhuber published the paper "World Models" in 2018, demonstrating how an agent can complete reinforcement learning training within dreams64% similarUnverifiedThe alternative path toward artificial general intelligence proposed by LeCun is a self-supervised learning architecture driven by a 'World Model', such as JEPA62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/603465API
curl https://kongchang.com/api/v1/knowledge/claims/603465MCP
get_claim(id=603465)