Efficient and fair resource allocation associated with congestion control in multi-hop cognitive radio networks (CRN) is a challenging problem. In this paper, we consider their mu...
This paper demonstrates a biologically- and psychologicallyinspired human-like computational memory focusing on the retrieval mechanisms – Spreading Activation and Compound Cue ...
This research investigates event generalisation in computational episodic memory for artificial companions. Two studies indicated a preference of a biologically-inspired selectiv...
Recent rise in maritime piracy prompts the search for novel techniques for addressing the problem. We therefore developed AgentC, a prototype system that demonstrates how agent-ba...
Michal Jakob, Ondrej Vanek, Branislav Bosansk&yacu...
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...