A Critical Review on the Symbol Grounding Problem as an Issue of Autonomous Agents

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• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9324
• 期：1
• 页码：256-263
• 全文大小：130 KB
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• 作者单位：Richard Cubek (17)
  Wolfgang Ertel (17)
  Günther Palm (18)
  
  17. Institute for Artificial Intelligence, Ravensburg-Weingarten University of Applied Sciences, Weingarten, Germany
  18. Institute of Neural Information Processing, Ulm University, Ulm, Germany
  
• 丛书名：KI 2015: Advances in Artificial Intelligence
• ISBN：978-3-319-24489-1
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Many recent papers claim, that the symbol grounding problem (SGP) remains unsolved. Most AI researchers ignore that and the autonomous agents (or robots) they design indeed do not seem to have any “problem”. Anyway, these claims should be taken rationally, since nearly all these papers make “robots” a subject of the discussion - leaving some kind of impression that what many roboticists do in the long run has to fail because of the SGP not yet being solved. Starting from Searle’s chinese room argument (CRA) and Harnad’s reformulation of the problem, we take a look on proposed solutions and the concretization of the problem by Taddeo’s and Floridi’s “Z condition”. We then refer to two works, which have recently shown that the Z-conditioned SGP is unsolvable. We conclude, that the original, hard SGP is not relevant in the context of designing goal-directed autonomous agents.