Tagged articles

bounded rationality

3 articles · Page 1 of 1
Digital Planet
Digital Planet
Sep 24, 2026 · Industry Insights

AI Isn't Just Stealing Jobs: Four Ways It's Advancing Management Science

The article outlines four concrete contributions of AI to management science: raising decision-quality ceilings by overcoming bounded rationality, accelerating research via intelligent semantic extraction (Tsinghua's AI4S² framework), enabling organizational capability retention through 'one-enterprise-one-model' knowledge precipitation, and fueling indigenous Chinese management theory from local AI implementations at Lenovo, CITIC, China Merchants Bank, and Yunnan Baiyao.

AIAI4SChinese management theory
0 likes · 11 min read
AI Isn't Just Stealing Jobs: Four Ways It's Advancing Management Science
Frontend AI Walk
Frontend AI Walk
Jun 11, 2026 · Artificial Intelligence

Do AI Skills Have a Methodology? From Scientific Foundations to Design Patterns

The article argues that building AI Agent Skills follows a nascent methodology built on three scientific principles—In‑Context Learning, attention distribution, and bounded rationality—organized into three methodological streams (design‑driven, engineering‑driven, auto‑optimization) and distilled into six reusable design patterns, with a roadmap for future evolution.

AI agentDesign PatternsSkill Engineering
0 likes · 13 min read
Do AI Skills Have a Methodology? From Scientific Foundations to Design Patterns
Model Perspective
Model Perspective
Apr 22, 2025 · Artificial Intelligence

What Are Herbert Simon’s Four Decision-Making Models and Why They Matter

The article reviews Herbert Simon’s four influential decision‑making models—Subjective Expected Utility, Behavioral, Intuitive, and Darwinian—explaining their key features, applications, and limitations, and shows how they illuminate rational and adaptive choices in economics, psychology, and organizational behavior.

Darwinian ModelDecision TheoryHerbert Simon
0 likes · 9 min read
What Are Herbert Simon’s Four Decision-Making Models and Why They Matter