Collective problem-solving in evolving networks: An agent-based model

Computer Science

• Reinforcement Learning 100%
• Computational Modeling 50%
• Space Complexity 50%
• Performance Difference 50%
• Network Configuration 50%
• Individual Setting 50%
• Individual Level 50%
• Individual Model 50%
• Representation Learning 50%
• Feasible Solution 50%
• Dynamic Structure 50%

Keyphrases

• Collective Problem Solving 100%
• NK Landscapes 50%
• Network Configuration 50%
• Performance Difference 50%
• Learned Features 50%
• Learnability 50%
• Real Setting 50%
• Reinforcement Learning 50%
• Reinforcement Learning Algorithm 50%
• Complex Space 50%

INIS

• learning 100%
• space 60%
• solutions 60%
• levels 20%
• information 20%
• variations 20%
• performance 20%
• dynamics 20%
• connections 20%
• algorithms 20%
• screening 20%
• configuration 20%