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Commonsense Reasoning

An Event Calculus Based Approach

  • 2 Edición - 23 de octubre de 2014
  • Última edición
  • Autor: Erik T. Mueller
  • Idioma: Inglés

To endow computers with common sense is one of the major long-term goals of artificial intelligence research. One approach to this problem is to formalize commonsense reasoning us… Leer más

Descripción

To endow computers with common sense is one of the major long-term goals of artificial intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning: An Event Calculus Based Approach is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions that span many areas of the commonsense world.

The Second Edition features new chapters on commonsense reasoning using unstructured information including the Watson system, commonsense reasoning using answer set programming, and techniques for acquisition of commonsense knowledge including crowdsourcing.

Puntos claves

  • Understand techniques for automated commonsense reasoning
  • Incorporate commonsense reasoning into software solutions
  • Acquire a broad understanding of the field of commonsense reasoning
  • Gain comprehensive knowledge of the human capacity for commonsense reasoning

De interès para

Researchers and graduate students in the areas of cognitive science and artificial intelligence.

Índice

Part I: Foundations

Part II: Commonsense Phenomena

Part III: Commonsense Domains

Part IV: Default Reasoning

Part V: Programs and Applications

Part VI: Logical and Non-logical Methods

Part VII: Knowledge Acquisition

Part VIII: Conclusion

Part IX: Appendices

Detalles del producto

  • Edición: 2
  • Última edición
  • Publicado: 11 de noviembre de 2014
  • Idioma: Inglés

Sobre el autor

EM

Erik T. Mueller

Afiliaciones y experiencia
IBM Watson Group and IBM Research, New York, USA

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