Learning in and from Brain-Based Devices

摘要: Biologically based mobile devices have been constructed that differ from robots on artificial intelligence. These brain-based (BBDs) contain simulated brains autonomously categorize signals the environment without a priori instruction. Two such BBDs, Darwin VII and X, are described here. recognizes objects links categories to behavior through instrumental conditioning. X puts together “what,”“when,” “where” cues in into an episodic memory allows it find desired target. Although these BBDs designed provide insights how brain works, their principles may uses building hybrid machines. machines would combine learning ability of with explicitly programmed control systems.