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Agentic AI
25 topics across 5 chapters
Chapter 1
Foundations of Agency in AI
1
Agency vs Autonomy
2
Intentions and Goals
3
Bounded Rationality
4
Utility Functions in AI
Chapter 2
Decision Making under Uncertainty
5
Probabilistic Reasoning
6
Belief Updating under Uncertainty
7
Decision under Risk and Uncertainty
8
Exploration-Exploitation in Agents
Chapter 3
Ethics and Alignment
9
Value Alignment
10
Corrigibility and Safeguards
11
Fairness, Safety, and Oversight
12
Policy, Governance, and Regulation
Chapter 4
Models of Autonomy
13
Self-Driving vs AI Assistants
14
Plan Generation for Autonomy
15
Execution Monitoring and Feedback
Chapter 5
Control Architectures
16
Hierarchical Control
17
BDI Agent Architectures
18
Robustness and Stability
19
Safety-Critical Agent Design

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