Domain: Agents & Autonomy
Market reacting strategically to AI.
A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.
AI tacitly coordinating prices.
Rules governing auctions.
System that independently pursues goals over time.
Agents communicate via shared state.
Agents have opposing objectives.
Agents optimize collective outcomes.
Agents fail to coordinate optimally.
Agent reasoning about future outcomes.
Robots learning via exploration and growth.
Intelligence emerges from interaction with the physical world.
Competition arises without explicit design.
AI reinforcing market trends.
Sudden extreme market drop.
Mathematical guarantees of system behavior.
Decomposing goals into sub-tasks.
Some agents know more than others.
Learning without catastrophic forgetting.
Supplying buy/sell orders.
Designing efficient marketplaces.
Effect of trades on prices.
Designing systems where rational agents behave as desired.
Combination of cooperation and competition.
Physical form contributes to computation.
No agent benefits from unilateral deviation.
No agent can improve without hurting another.
Number of steps considered in planning.
Interleaving reasoning and tool use.
Simple agent responding directly to inputs.