June 1, 2018
Is the Internet Spatial? Given that electronic signals travel at the speed of light, spatial distance on the internet should play a negligible role. However, the economic success and importance of content distribution networks suggests otherwise.
A paper reporting on an experiment to answer this question has been accepted for publication in the Journal of Reliable Intelligent Environments. The answer is “yes”, opening new perspectives towards solutions simplifying and unifying a range of protocols.
May 21, 2018
The imaginer is online. You can try it here.
May 16, 2018
I have added updated information about my current projects on
May 22, 2017
November 11, 2016
Cognitive systems at the reasoning-perception interface
Human reasoning uses analogies, metaphors, and analogous representations to greatly expand our horizons: we “grasp” a concept, or “see” how a complex phenomenon works. While many animals have amazing problem solving skills, human cognition is unique in its ability for higher reasoning, yet there is an explanatory gap between logic/mathematics and the associative structures we know underly human and animal cognition. Thanks to recent discoveries, we have a better understanding of this interface, which opens new pathways for both foundational and applied projects.
- Forest granularities
- Multi-granular model of forest ecosystems
- Classification of forest types based on multi-granular model
- Multi-granular aspects of global value chains
- Multi-granular model of the high-tech sector
- Micro-macro interactions
Mapping the global internet
- Map visualization of timing and error problems of the global internet
April 5, 2016
My new paper on non-transitive information granulation has been accepted for presentation at the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
August 6, 2015
The new Journal of Reliable Intelligent Environments has published its first issue and welcomes submissions in all areas related to making technologies such as Smart Spaces, Ubiquitous Computing, and Geosensor Networks predictable, secure, privacy preserving, and safe and easy to use.
- Covers intelligent environments of any scale, ranging from smart materials and wearable networks in clothes, to smart buildings and systems of geographic scale, such as smart cities and geosensor networks
- Encourages and disseminates all types of techniques, methods and tools which can make Intelligent Environments safer to use, more widely accepted and trusted, more resilient to hardware and software problems
- Examines every stage from equipment selection to modeling, scalability, testing and verification to large scale integration and deployment.
This journal focuses on theoretical developments and lessons learned in the deployment of Intelligent Environments. The coverage is broad, open and flexible, embracing all types of techniques which can increase confidence in Intelligent Environments systems.