Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
We show how to combine trust management theories with nonce-based cryptographic protocols. The strand space framework for protocol analysis is extended by associating formulas from...
Joshua D. Guttman, F. Javier Thayer, Jay A. Carlso...
We present an incarnation of the Enterprise Physics vision sketched in [3] that provides automatic or semi-automatic support for evolution and change management in heterogeneous le...
Tiziana Margaria, Bernhard Steffen, Christian Kubc...
Some benefits of a dialogue between evolutionary robotics and developmental ethology are presented with discussion of how developmental models might inform approaches to evolution...
This paper presents an update on the current state of development of the Text Encoding Initiative's Guidelines for Electronic Text Encoding and Interchange. Since the last ma...