Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent.
Emmanouil GiannakakisSina KhajehabdollahiAnna LevinaPublished in: CoRR (2024)
Keyphrases
- learning rules
- network structure
- neural network
- biologically inspired
- spiking neural networks
- hopfield neural network
- multi agent
- control system
- multi agent systems
- intelligent agents
- peer to peer
- co occurrence
- multiagent systems
- complex networks
- learning scheme
- distributed control
- learning mechanisms
- network evolution
- social groups
- control method
- autonomous agents
- multi modal
- image quality
- edge detection
- image analysis
- expert systems