The use of dynamic access control policies for threat response adapts local response decisions to high level system constraints. However, security policies are often carefully tigh...
Abstract. Membrane systems are gaining a prominent role in the modeling of biochemical processes and cellular dynamics. We associate specific reactivity values to the production r...
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
This study investigates the control of spike-timing dependent plasticity (STDP) by regulation of the dendritic spike threshold of the postsynaptic neuron. The control of synaptic ...
Patrick D. Roberts, Gerardo Lafferriere, Nathaniel...
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...