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Library of artificial intelligence

Everything related to artificial intelligence

A incentive to collect relevant documents on the subject of artificial intelligence.

Collect documents into categories and expand to sub-categories.

Structure

The collection is organized according to the subject areas of the Turing-test. The subject areas as listed:

  • 00 Basics: knowledge and achievements related to the field of artificial intelligence, such as metaphysics, biology and mathematics.
    • 01 Philosophy: philosophical ground of intelligence, knowledge and artificial intelligence
    • 02 Biology: biological aspects of artificial intelligence
    • 03 Economics: economics aspects of artificial intelligence
    • 04 Math: mathematical aspects of artificial intelligence
    • 05 Computer science: computer science aspects of artificial intelligence (e.g. graph algorithms, data structures)
    • 06 System sciences: system sceince aspect of artificial intelligence (e.g. modeling, simulation)
    • 07 Cybernetics: cybernetics related to artificial intelligence (including control theory)
  • 01 Agents: artificial intelligent systems with heavy focus on agent-based modeling (e.g. BDI, agent-based programming, multi-agent systems)
  • 02 Natural language processing (NLP): processing, reasoning and inferencing of human languages (including texts, speech)
  • 03 Knowledge representation: representing knowledge in a (semi-)formal format, e.g. ontologies, taxonomies
  • 04 Automated reasoning: programmatic reasoning using a representation language (e.g. first-order lgoics, second-order-logics, fuzzy logic)
  • 05 Machine learning: learning methodologies from past expreiences and observations (e.g. neural-network based learning, statistical learning)
  • 06 Machine vision: observing the world through visual information (e.g. OpenCV)
  • 07 Robotics: constructing avatars of machine intelligence capable of interacting with their respective external environments (including construction methods, control of robots)

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