T-713-MERS-2026 Main
T-713-MERS-2026 Links to Thórisson's Lecture Notes
Background Concepts
Artificial Neural Networks (ANNs)
W1: INTRODUCTION
Concepts & Terms
Empirical Reasoning - Preface
W2:
DATA, WORLDS & EMPIRICISM
Key concepts:
Environment, tasks, entities, variables, experiments, data
Worlds, Empiricism
W3:
Task Theory
Key concepts:
Tasks, agent perspective, observer perspective, intricacy
Task Theory
Sprint W4+W5:
LEARNING, KNOWLEDGE & MODELING
Key concepts:
Learning, knowledge, information, representation, cause-effect
Learning & Knowledge
Sprint W6+W7:
REASONING I: THE BASICS
Key concepts:
Syllogism, logic, reasoning
Intro to Reasoning
Sprint W8+W9:
REASONING II
Key concepts:
argument, defeasibility, background assumptions, context
Empirical Reasoning I
Empirical Reasoning II
Sprint W10+11:
REASONING ARCHITECTURES & MORE
Key topics: Causation, methodology, architectures and NARS assignments (see Canvas)
Empirical Reasoning III
Empirical Reasoning IV
W12: WRAP-UP
Methodological Considerations
Last Questions