Results for "physical agents"

AI systems that perceive and act in the physical world through sensors and actuators.

Hardware components that execute physical actions.

Devices measuring physical quantities (vision, lidar, force, IMU, etc.).

The physical system being controlled.

Software simulating physical laws.

High-fidelity virtual model of a physical system.

Learning physical parameters from data.

Human-like understanding of physical behavior.

Intelligence emerges from interaction with the physical world.

Physical form contributes to computation.

Systems where failure causes physical harm.

A broader capability to infer internal system state from telemetry, crucial for AI services and agents.

Extending agents with long-term memory stores.

Multiple agents interacting cooperatively or competitively.

Distributed agents producing emergent intelligence.

Agents communicate via shared state.

Tendency for agents to pursue resources regardless of final goal.

Artificial environment for training/testing agents.

Agents optimize collective outcomes.

Agents have opposing objectives.

Designing systems where rational agents behave as desired.

Agents fail to coordinate optimally.

Some agents know more than others.

Agents copy others’ actions.

Emergence of conventions among agents.

Ensuring robots do not harm humans.