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Source: The Open Library

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1The triumph of the airheads

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“The triumph of the airheads” Metadata:

  • Title: The triumph of the airheads
  • Author:
  • Language: English
  • Number of Pages: Median: 296
  • Publisher: ➤  Park Street Press and Media 21 Publishing
  • Publish Date:
  • Publish Location: Double Bay, N.S.W

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Access and General Info:

  • First Year Published: 2006
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

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Knowledge representation and reasoning

representation and reasoning (KRR, KR&R, or KR²) also aims to understand, reason, and interpret knowledge. KRR is widely used in the field of artificial intelligence

Artificial intelligence

aspects and domains of knowledge. Among the most difficult problems in knowledge representation are the breadth of commonsense knowledge (the set of atomic

Moral reasoning

Powell, Derek (2016). "Deontological coherence: A framework for commonsense moral reasoning". Psychological Bulletin. 142 (11): 1179–1203. doi:10.1037/bul0000075

Commonsense knowledge (artificial intelligence)

knowledge was Advice Taker in 1959 by John McCarthy. Commonsense knowledge can underpin a commonsense reasoning process, to attempt inferences such as "You might

History of artificial intelligence

information. Representing commonsense reasoning: A number of related problems appeared when researchers tried to represent commonsense reasoning using formal logic

Sentiment analysis

natural language concepts. The system can help perform affective commonsense reasoning. Sentiment analysis can also be performed on visual content, i.e

Folk psychology

psychology, commonsense psychology, or naïve psychology is the ordinary, intuitive, or non-expert understanding, explanation, and rationalization of people's

Expert system

decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented

Common sense

known to be true Commonsense reasoning – Branch of artificial intelligence aiming to create AI systems with "common sense" Commonsense knowledge – Facts

Large language model

tasks. Tests evaluate capabilities such as general knowledge, bias, commonsense reasoning, question answering, and mathematical problem-solving. Composite