David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Abstract Many anticipatory systems cannot in themselves act meaningfully or represent intentionally. This stems largely from the derivative nature of their functionality. All current artificial control systems, and many living systems such as organs and cellular parts of organisms derive any intentionality they might have from their designers or possessors. Derivative functionality requires reference to some external autonomously functional system, and derivative intentionality similarly requires reference to an external autonomous intentional system. The importance of autonomy can be summed up in the following slogan: No meaning without intention; no intention without function; no function without autonomy. This paper develops the role of autonomy to show how learning new tasks is facilitated by autonomy, and further by representational capacities that are functional for autonomy.
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Argyris Arnellos, Luis Emilio Bruni, Charbel Niño El-Hani & John Collier (2012). Anticipatory Functions, Digital-Analog Forms and Biosemiotics: Integrating the Tools to Model Information and Normativity in Autonomous Biological Agents. Biosemiotics 5 (3):331-367.
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