Learn More
Information theory has long been used to quantify interactions between two variables. With the rise of complex systems research, multivariate information measures have been increasingly used to investigate interactions between groups of three or more variables, often with an emphasis on so called synergistic and redundant interactions. While bivariate(More)
Understanding the mechanisms of distributed computation in cellular automata requires techniques for characterizing the emergent structures that underlie information processing in such systems. Recently, techniques from information theory have been brought to bear on this problem. Building on this work, we utilize the new technique of partial information(More)
Information theory has long been used to quantify interactions between two variables. With the rise of complex systems research, multivariate information measures are increasingly needed. Although the bivariate information measures developed by Shannon are commonly agreed upon, the multivariate information measures in use today have been developed by many(More)
Are the acoustic-phonetic factors that promote highly intelligible speech invariant across different listener populations and listening environments? Researchers have taken two approaches to investigate differences in intelligibility for a variety of listener populations: examining how speaking style affects intelligibility, and examining how inter-talker(More)
Information theory is widely accepted as a powerful tool for analyzing complex systems and it has been applied in many disciplines. Recently, some central components of information theory, multivariate information measures, have found expanded use in the study of several phenomena. Despite this widespread use, there is disagreement regarding the(More)
  • 1