Results for "agents"

Multiple agents interacting cooperatively or competitively.

Agents fail to coordinate optimally.

Distributed agents producing emergent intelligence.

Designing systems where rational agents behave as desired.

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.

Emergence of conventions among 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.

Coordination arising without explicit programming.

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 optimize collective outcomes.

Agents have opposing objectives.

Market reacting strategically to AI.

Collective behavior without central control.

Agents copy others’ actions.

The text (and possibly other modalities) given to an LLM to condition its output behavior.

A high-priority instruction layer setting overarching behavior constraints for a chat model.