Strategic Objectives
• Define the precise mathematical logic behind autonomous transitions.
• Understand the sliding scale of authority in agentic systems.
• Map the architectural requirements for high-threshold autonomy.
• Master the distinction between execution-level and decision-level logic.
The Core Challenge
The line between automated software and autonomous agents is often blurred, leading to unpredictable system behavior and systemic risk.
01
Defining the Threshold
02
The Sliding Scale of Authority
03
Formal Logic Foundations
04
Decision Theory and Utility
05
State Space Representation
06
The Control Loop
07
Deterministic vs. Stochastic Agency
08
Recursive Self-Improvement
09
Bounded Rationality
10
Multi-Agent Coordination
11
The Markov Decision Process
12
Objective Functions and Alignment
13
Epistemic Logic
14
The Calculus of Intent
15
Constraint Satisfaction
16
Game Theory in Autonomy
17
Temporal Logic
18
Symbolic vs. Connectionist Agency
19
Heuristics and Shortcuts
20
Systemic Trust and Verification
21
The Future of Threshold Theory
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