Everything About ___
Live briefing

Everything about Distributed artificial intelligence

Subfield of artificial intelligence

Distributed Artificial Intelligence (DAI) is a melding of artificial intelligence with distributed computing. From artificial intelligence comes the theory and technology for constructing or analyzing an intelligent system. But where artificial intelligence uses psychology as a source of ideas, inspiration, and metaphor, DAI uses sociology, economics, and management science for inspiration. Where the focus of artificial intelligence is on the individual, the focus of DAI is on the group. Distributed computing provides the computational substrate on which this group focus can occur. Using techniques from artificial intelligence, communication theory, control theory, and interaction theory, it produces a cooperative solution to problems by a decentralized group of computational entities (agents). Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Distributed artificial intelligenceA 5-minute orientation
  2. Skim a recent paper: Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A SurveyInfluential work since 2022
  3. Pick up a classic book: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed ComputingThe most-reprinted book on the subject
  4. Read the landmark paper: Distributed, decentralized, and democratized artificial intelligenceCited 157 times
  5. Go sideways: Multi-agent systemA closely related topic
  6. Go sideways: Situated approach (artificial intelligence)A closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Definition
  2. Development
  3. Goals
  4. Approaches
  5. Applications and tools
  6. Agents

🏆 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