Abstract
In this article, we present a simple agent which learns an internal representation of space without a priori knowledge of its environment, body, or sensors. The learned environment is seen as an internal space representation. This representation is isomorphic to the group of transformations applied to the environment. The model solves certain theoretical and practical issues encountered in previous work in sensorimotor contingency theory. Considering the mathematical description of the internal representation, analysis of its properties and simulations, we prove that this internal representation is equivalent to knowledge of space.
Highlights
Sensorimotor theorySensorimotor contingency theory argues that the acquisition of space knowledge in the brain is a result of the interaction between perception and body movement. ‘‘Passive perception’’ alone is not sufficient to create a representation of space, instead many authors propose ‘‘active percetion’’ in which action is a necessary component of perception.[1,2] The connections between sensory inputs and motor outputs are defined by a general set of rules whose properties depend on the characteristics of the surrounding space.[2,3,4,5,6,7,8] The agent is able to use its body to compensate for sensory changes
In response to sensory changes, which are a result of changes in the environment or body movements, the agent will move to counter the effect of the initial changes
This result is predicted by the sensorimotor contingency theory, where abstract notions do not reflect regularities in the sensory inputs per se but reflect robust laws describing the possible changes of sensory inputs following actions on the part of the agent
Summary
Sensorimotor theorySensorimotor contingency theory argues that the acquisition of space knowledge in the brain is a result of the interaction between perception and body movement. ‘‘Passive perception’’ alone is not sufficient to create a representation of space, instead many authors propose ‘‘active percetion’’ in which action is a necessary component of perception.[1,2] The connections between sensory inputs and motor outputs are defined by a general set of rules whose properties depend on the characteristics of the surrounding space.[2,3,4,5,6,7,8] The agent is able to use its body to compensate for sensory changes. Sensorimotor contingency theory argues that the acquisition of space knowledge in the brain is a result of the interaction between perception and body movement. ‘‘Passive perception’’ alone is not sufficient to create a representation of space, instead many authors propose ‘‘active percetion’’ in which action is a necessary component of perception.[1,2] The connections between sensory inputs and motor outputs are defined by a general set of rules whose properties depend on the characteristics of the surrounding space.[2,3,4,5,6,7,8] The agent is able to use its body to compensate for sensory changes. In response to sensory changes, which are a result of changes in the environment or body movements, the agent will move to counter the effect of the initial changes. These studies showed that it is possible to retrieve the dimension of the Descartes, Paris, France
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