Submission Number: 99
Submission ID: 3519
Submission UUID: 037a2dc5-c8df-4ab2-bb6c-772f0a0186cc
Submission URI: /form/resource

Created: Mon, 03/20/2023 - 23:01
Completed: Mon, 03/20/2023 - 23:01
Changed: Fri, 03/14/2025 - 11:43

Remote IP address: 198.11.30.70
Submitted by: Shohei Wakayama
Language: English

Is draft: No
Approved: Yes
Title: Active inference textbook 
Category: Learning
Tags:
ai (271), machine-learning (272), neural-networks (435)

Skill Level:
Beginner (304), Intermediate (305), Advanced (306)

Description:
This textbook is the first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines including computational neurosciences, machine learning, artificial intelligence, and robotics. It was published in 2022 and it's open access at this time. The contents in this textbook should be educational to those who want to understand how the free energy principle is applied to the normative behavior of living organisms and who want to widen their knowledge of sequential decision making under uncertainty.  

Link to Resource:
- Active Inference: The Free Energy Principle in Mind, Brain, and Behavior (https://direct.mit.edu/books/oa-monograph/5299/Active-InferenceThe-Free-Energy-Principle-in-Mind)

Domain:
ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)