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Everything about Computational intelligence

Computer system simulating intelligence

In computer science, computational intelligence (CI) refers to concepts, paradigms, algorithms and implementations of systems that are designed to show "intelligent" behavior in complex and changing environments. These systems are aimed at mastering complex tasks in a wide variety of technical or commercial areas and offer solutions that recognize and interpret patterns, control processes, support decision-making or autonomously manoeuvre vehicles or robots in unknown environments, among other things. These concepts and paradigms are characterized by the ability to learn or adapt to new situations, to generalize, to abstract, to discover and associate. Nature-analog or nature-inspired methods play a key role in this. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Computational intelligenceA 5-minute orientation
  2. Skim a recent paper: RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learningInfluential work since 2022
  3. Pick up a classic book: Digital FortressThe most-reprinted book on the subject
  4. Read the landmark paper: I.—COMPUTING MACHINERY AND INTELLIGENCECited 9,434 times
  5. Go sideways: Soft computingA closely related topic
  6. Go sideways: Evolutionary computationA closely related topic

📖 Definitions

Noun A field of study that covers traditional artificial intelligence together with neural networks and fuzzy systems etc.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics