Inference and attack in Bayesian networks

In legal reasoning the Bayesian network approach has gained increasingly more attention over the last years due to the increase in scientific forensic evidence. It can however be questioned how meaningful a Bayesian network is in terms that are easily comprehensible by judges and lawyers. Argumentation models, which represent arguments and...

Contextualized institutions in virtual organizations (abstract)

Enhancing SAT Based Planning with Landmark Knowledge

Several approaches exist to solve Artificial Intelligence planning problems, but little attention has been given to the combination of using landmark knowledge and satisfiability (SAT). Landmark knowledge has been exploited successfully in the heuristics of classical planning. Recently it was also shown that landmark knowledge can improve the...

DUPLOG: Probabilistic logical interpretation of Duplo assemblies from 3D Vision

Composite real world objects can be logically explained by their components and their relations. Knowing and expressing the logical relations between the components can facilitate 3D object recognition employing semantic information. We present DUPLOG, a novel method for 3D model acquisition of Duplo block assemblies from video. It acquires...

Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model (abstract)

Neurally plausible reinforcement learning of working memory tasks (abstract)