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Affordances are the action possibilities that an environment offers to an intelligent agent based on the agent’s body, abilities, and current situation. In simple terms, affordances describe what an agent can do with objects or environments around it. For example: Importantly, affordances are not fixed…

Embodied cognition is the idea that intelligence does not emerge from the brain alone, but from the continuous interaction between the brain, the body, and the surrounding environment. Instead of viewing intelligence as purely abstract computation, embodied cognition argues that thinking is deeply connected to…

The body-brain-environment triangle describes how intelligence emerges from the continuous interaction between three tightly connected components: Rather than treating intelligence as something that exists only inside a computer or neural network, this framework views intelligence as a dynamic process distributed across an entire physical system…

The sensorimotor loop is the continuous cycle where an intelligent agent senses its environment, processes information, takes action through its body, and then receives new sensory feedback from the results of those actions. This loop is one of the most important foundations of physical AI…

One of the biggest questions in artificial intelligence is whether truly advanced AI systems need a physical body to fully understand and interact with the real world. Many researchers believe that intelligence becomes far more capable when it is connected to physical experience. This idea…