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The Pragmatic TurnToward Action-Oriented Views in Cognitive Science$
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Andreas K. Engel, Karl J. Friston, and Danica Kragic

Print publication date: 2016

Print ISBN-13: 9780262034326

Published to MIT Press Scholarship Online: September 2016

DOI: 10.7551/mitpress/9780262034326.001.0001

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Learning Action-Perception Cycles in Robotics

Learning Action-Perception Cycles in Robotics

A Question of Representations and Embodiment

(p.309) 18 Learning Action-Perception Cycles in Robotics
The Pragmatic Turn

Jeannette Bohg

Danica Kragic

The MIT Press

Since the 1950s, robotics research has sought to build a general-purpose agent capable of autonomous, open-ended interaction with realistic, unconstrained environments. Cognition is perceived to be at the core of this process, yet understanding has been challenged because cognition is referred to differently within and across research areas, and is not clearly defined. The classic robotics approach is decomposition into functional modules which perform planning, reasoning, and problem-solving or provide input to these mechanisms. Although advancements have been made and numerous success stories reported in specific niches, this systems-engineering approach has not succeeded in building such a cognitive agent. The emergence of an action-oriented paradigm offers a new approach: action and perception are no longer separable into functional modules but must be considered in a complete loop. This chapter reviews work on different mechanisms for action-perception learning and discusses the role of embodiment in the design of the underlying representations and learning. It discusses the evaluation of agents and suggests the development of a new embodied Turing Test. Appropriate scenarios need to be devised in addition to current competitions, so that abilities can be tested over long time periods.

Keywords:   Strüngmann Forum Reports, action-oriented cognition, artificial intelligence, robotics, Turing Test

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