Results for "collective agents"
Agents optimize collective outcomes.
Collective behavior without central control.
Multiple agents interacting cooperatively or competitively.
Distributed agents producing emergent intelligence.
Emergence of conventions among agents.
Coordination arising without explicit programming.
Agents copy others’ actions.
System-level behavior arising from interactions.
Early signals disproportionately influence outcomes.
Agents fail to coordinate optimally.
Designing systems where rational agents behave as desired.
No agent can improve without hurting another.
Extending agents with long-term memory stores.
System that independently pursues goals over time.
Decomposing goals into sub-tasks.
Simple agent responding directly to inputs.
Agents communicate via shared state.
Tendency for agents to pursue resources regardless of final goal.
Competition arises without explicit design.
AI tacitly coordinating prices.
Some agents know more than others.
Designing AI to cooperate with humans and each other.
Artificial environment for training/testing agents.
A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.
A broader capability to infer internal system state from telemetry, crucial for AI services and agents.
Agent calls external tools dynamically.
Interleaving reasoning and tool use.
Agent reasoning about future outcomes.
AI systems that perceive and act in the physical world through sensors and actuators.
Agents have opposing objectives.