DAI

A subfield of artificial intelligence (AI) that focuses on building systems composed of multiple intelligent agents distributed across different environments or computing nodes. These agents operate independently but coordinate to solve problems that require collective intelligence or that are too complex for a single agent to handle effectively. DAI integrates elements of AI, distributed computing, and systems theory.

DAI systems are designed around the idea of decentralized problem solving, where each agent:

DAS Branches

  1. Multi-Agent Systems (MAS): Focuses on intelligent coordination and interaction between autonomous agents.
  2. Distributed Problem Solving (DPS): Emphasizes how problems can be decomposed and solved in parts by different agents working in parallel.

DAS Applications

DAI is foundational in fields that require scalable, resilient intelligence, including:

DAS Benefits

DAS Challenges

Relation to Other Concepts: DAI serves as the theoretical backbone for Multi-Agent Systems (MAS) and often overlaps with Agent-Based Modeling (ABM) in simulation environments. It is distinct from traditional AI in its emphasis on distributed decision-making, making it well-suited for environments where central control is impractical or undesirable.

Additional Acronyms for DAI

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