Intrinsic Motivation for Truly Autonomous Agents

In this chapter, I argue that agents need human-like intrinsic motivation in order to achieve true autonomy, which is especially important for dealing with complex, uncertain, or unpredictable environments. A computational cognitive architecture is presented that incorporates not only cognitive capabilities necessary for the functioning of agents but also intrinsic (as well as derived) motivation for agents. With this model, an agent is able to function properly and autonomously in complex environments, as demonstrated by a wide range of simulations.

• Publication year

  2018

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Philosophy, Computer Science

• Identifiers
  DOI 10.1007/978-3-319-64816-3_15
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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