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Distributed Artificial Intelligence (DAI)
Releated Topics
Multi-Agent System (MAS)
A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment.
Multiagent systems are made up of multiple interacting intelligent agents -- computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care.
We cope here with concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory.
Natural Language Interface (NLI)
- Talking to Databases
Maschine Learning / Deep Learning
Big Data and Distributed Problem Solving in Multy Agent Systems
Communication ()
Cooperation and Competition ()
Blackboard Approach
- Task Anouncment,
- Decomposition (Task to Subtask, recursiv)
- Subtask Solving,
- Composition (Subtasks to Task)
Roles in DAI
- Manager,
- Problem Solver (Agent)
Data Strategies
- AI Vector Search (semantic search)