Center for Analysis and Design of Intelligent Agents

T-720-ATAI-2021 Links to Thorisson's Lecture Notes

W1: INTRODUCTION
- Intelligence: The Phenomenon
Sprint W2+W3: WORLDS
- Key concepts: Environment, tasks, entities, variables, tests, goals, behaviors
- Tasks & Environments
- Emergence & Self-Organization (not mandatory)
Sprint W4+W5: LEARNING
- Key concepts: Reinforcement learning, cumulative learning, learning by observation
- Learning
- Evaluation
- Teaching
Sprint W6+W7: CONTROL
- Key concepts: Control systems, levels of control, generality, autonomy
- Agents & Control
- Intelligence & Generality
- Self-X & Predictability, Reliability, Self-Explanation
Sprint W8+W9: SYMBOLS, MODELS, CAUSALITY
- Key concepts: Models, relations, causation, symbols, hierarchy, compositionality, grounding
- Knowledge Representation
- Causation, Probabilities & More
- AI Architectures
Sprint W10+11: UNDERSTANDING
- Key concepts: In addition to the topic of understanding, curiosity, creativity and methodology, this sprint relies on everything from the previous sprints.
- Understanding, Curiosity, Creativity
- AI Methodologies
W12: WRAP-UP