Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Abstract. Medical reports are predominantly written in natural language; as such they are not computer-accessible. A common way to make medical narrative accessible to automated sy...
Janneke van der Zwaan, Erik F. Tjong Kim Sang, Maa...
This paper addresses the problem of plan recognition for multi-agent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. ...
In this paper 3-D Extrinsic Information Transfer (EXIT) charts are used to design binary Self-Concatenated Convolutional Codes employing Iterative Decoding (SECCC-ID), exchanging e...
Muhammad Fasih Uddin Butt, Raja Ali Riaz, Soon Xin...
Co-ordination is the glue that binds the activities of autonomous problem-solving agents together into a functional whole. Co-ordination mechanisms for distributed problem-solving ...