Auctions are promising decentralized methods for teams of agents to allocate and re-allocate tasks among themselves in dynamic, partially known and time-constrained domains with p...
Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
In this paper, we describe a rule-based message passing method to support developing collaborative applications, in which multiple users share resources in distributed environments...
Database Semantics (DBS) is a computational model of how communicating with natural language works. at a level of abstraction which may be applied to natural and artificial agents...
Most agent-based modeling techniques generate only a single trajectory in each run, greatly undersampling the space of possible trajectories. Swarming agents can explore a great m...