multi-agent systems
Distributed artificial intelligence
Multi-agent systems are computational frameworks where multiple autonomous agents interact to solve problems or perform tasks.
Each agent operates independently but coordinates with others, often through communication protocols or shared environments.
The concept appears in artificial intelligence, robotics, and distributed computing: The warehouse uses a multi-agent system to coordinate its robots.
Such systems can model complex phenomena like traffic flow, economic markets, or social behavior.
Decentralized group decision-making
- self-organizationSpontaneous internal structure emergence
- collective intelligenceEmergent group cognition
- emergent behaviorPatterns arising from interactions
- feedback loopsSelf-modifying response cycles
complex systems · flocking · herd behavior · spontaneous order · tipping points · phase transitions · network effects
Process of choosing actions
- planningArranging for future events
- policyAdopted principle of action
- adaptivityCapacity to adjust
Assigning times to events
- consensusGeneral group agreement
- interoperabilityCross-platform functional harmony
- synchronizationAligning timing across systems
- resource allocationAssigning available means strategically
conflict resolution · load balancing · parallel processing · concurrency · handoff · delegation · communication protocols
Computer-simulated spaces for interaction
- Monte CarloProbability estimation through randomness
- calibrationAdjusting for measurement accuracy
- validationConfirming truth or accuracy
Negotiating mutually acceptable terms
- cooperative gamesGames with shared victory
- minimaxWorst-case loss reduction
Multiple autonomous aircraft acting collectively
- localizationAdapting for specific markets
- mappingDiagram of correspondences
- teleoperationDistant machine control
- search and rescueFinding and saving people
swarm intelligence
Decentralized group decision-making
- self-organizationSpontaneous internal structure emergence
- collective intelligenceEmergent group cognition
- emergent behaviorPatterns arising from interactions
feedback loops · complex systems · flocking · herd behavior · spontaneous order · tipping points · phase transitions · network effects
decision-making
Process of choosing actions
- planningArranging for future events
- policyAdopted principle of action
- adaptivityCapacity to adjust
scheduling
Assigning times to events
- consensusGeneral group agreement
- interoperabilityCross-platform functional harmony
- synchronizationAligning timing across systems
resource allocation · conflict resolution · load balancing · parallel processing · concurrency · handoff · delegation · communication protocols
virtual environments
Computer-simulated spaces for interaction
- Monte CarloProbability estimation through randomness
- calibrationAdjusting for measurement accuracy
- validationConfirming truth or accuracy
bargaining
Negotiating mutually acceptable terms
- cooperative gamesGames with shared victory
- minimaxWorst-case loss reduction
drone swarms
Multiple autonomous aircraft acting collectively
- localizationAdapting for specific markets
- mappingDiagram of correspondences
- teleoperationDistant machine control
search and rescue · exploration · collision avoidance · fleet management
- simulation modelspredictive models, Monte Carlo, climate models, growth models, carrying capacity
- botsbot, bots, chatbot, chatbots, spam bot
- artificial lifeself-replication, emergence, genotype, phenotype, mutation
- emergenceemergence, appearing, surfacing, self-organization, arising
agent, system, systematic, multi, systematize, systematically