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Learning model for adaptive behaviors as an organized group of swarm robots
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1520-684x(199910)30:11<33::aid-scj4>3.0.co;2-bopenalex-snapshot
An approach to printed circuit board design with organizational learning agents
inferredcites →https://doi.org/10.1007/bf00113898openalex-snapshot
Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms
inferredcites →https://doi.org/10.1023/a:1008295030359openalex-snapshot
Printed Circuit Board Design via Organizational-Learning Agents
inferredcites →https://doi.org/10.1093/oso/9780190090883.003.0026openalex-snapshot
Organizational Learning
inferredcites →https://doi.org/10.1109/icec.1998.699138openalex-snapshot
Multiagent reinforcement learning with organizational-learning oriented classifier system
inferredcites →https://doi.org/10.1109/icips.1997.672760openalex-snapshot
A computational group dialogue model with organizational learning
inferredcites →https://doi.org/10.1109/icsmc.1997.633163openalex-snapshot
Good solutions will emerge without a global objective function: applying organizational-learning oriented classifier system to printed circuit board design
inferredcites →https://doi.org/10.1109/iros.1991.174665openalex-snapshot
Collision avoidance among multiple mobile robots based on rules and communication
inferredcites →https://doi.org/10.1109/iros.1994.407550openalex-snapshot
ALLIANCE: an architecture for fault tolerant, cooperative control of heterogeneous mobile robots
inferredcites →https://doi.org/10.1109/isic.1990.128452openalex-snapshot
Distributed motion coordination of multiple mobile robots
inferredcites →https://doi.org/10.1287/orsc.2.1.71openalex-snapshot
Exploration and Exploitation in Organizational Learning
inferredcites →https://doi.org/10.2172/34318openalex-snapshot
ALLIANCE: An architecture for fault tolerant multi-robot cooperation
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.7551/mitpress/3117.003.0065openalex-snapshot
Learning to Behave Socially
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-540-74205-0_57openalex-snapshot
A Swarm-Based Learning Method Inspired by Social Insects
inferred← citeshttps://doi.org/10.1007/bfb0095259openalex-snapshot
Analyzing the roles of problem solving and learning in organizational-learning oriented classifier system
inferred← citeshttps://doi.org/10.1016/j.jii.2021.100239openalex-snapshot
Torch: Strategy evolution in swarm robots using heterogeneous–homogeneous coevolution method
inferred← citeshttps://doi.org/10.1023/a:1008295030359openalex-snapshot
Printed Circuit Board Design via Organizational-Learning Agents
inferred← citeshttps://doi.org/10.1023/a:1009638423221openalex-snapshot
Making Organizational Learning Operational: Implications from Learning Classifier Systems
inferred← citeshttps://doi.org/10.1109/iccasm.2010.5623139openalex-snapshot
A new learning method inspired by cooperative transportation in ants: modelling and simulation
inferred← citeshttps://doi.org/10.1109/icec.1998.699138openalex-snapshot
Multiagent reinforcement learning with organizational-learning oriented classifier system
inferred← citeshttps://doi.org/10.1109/icips.1997.672760openalex-snapshot
A computational group dialogue model with organizational learning
inferred← citeshttps://doi.org/10.1109/icsmc.1997.633163openalex-snapshot
Good solutions will emerge without a global objective function: applying organizational-learning oriented classifier system to printed circuit board design
inferred← citeshttps://doi.org/10.1109/icsmc.1998.724992openalex-snapshot
Fault tolerance in a multiple robots organization based on an organizational learning model
inferred← citeshttps://doi.org/10.1109/wcica.2010.5554902openalex-snapshot
A new learning model for swarm intelligence based on Q-learning
inferred← citeshttps://doi.org/10.1163/156855303321125604openalex-snapshot
A reinforcement learning approach to fail-safe design for multiple space robots—cooperation mechanism without communication and negotiation schemes
inferred← citeshttps://doi.org/10.1163/156855398x00172openalex-snapshot
Organizational learning model for adaptive collective behaviors in multiple robots
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