A Neural Dynamic Network Drives an Intentional Agent That Autonomously Learns Beliefs in Continuous Time

Autonomous learning is the ability to form knowledge representations solely through one’s own experience. To autonomously learn, an agent must be able to perceive, act, memorize, plan, and desire; it must be able to form intentional states. We build on a neural process account of intentionality, in which intentional states are stabilized by interactions within populations of neurons that represent...