Differences
This shows you the differences between two versions of the page.
Next revision | Previous revision | ||
postdoc-jessie [2007/12/26 18:52] – created etanter | postdoc-jessie [2007/12/26 18:53] (current) – etanter | ||
---|---|---|---|
Line 1: | Line 1: | ||
+ | ====== Biological Models for Ubiquitous Computing ====== | ||
+ | |||
+ | ** Project Proposal **, funded by FONDECYT. | ||
+ | * lead researcher: Jessie Dedecker | ||
+ | * sponsoring researcher: Éric Tanter | ||
+ | |||
+ | This project is centered on the use of biologically inspired models for designing and implementing system software for ubiquitous computing. The goal is to study how such models can be used to organize the software in a highly decoupled | ||
+ | fashion to achieve meaningful emergent behavior. | ||
+ | |||
+ | Ubiquitous computing is a post-desktop model of interaction that makes many computers in the physical environment available by integrating them into everyday objects, making computers effectively invisible to the user. Ubiquitous computing systems have put new requirements on the manner in which software is structured, which are currently not addressed by the state of the art. Software for ubiquitous computing should be structured in a decentralized manner such that smart objects can be organized in an unanticipated setup and interoperate spontaneously. Furthermore, | ||
+ | |||
+ | Many of the characteristics found in ubiquitous computing systems are also exhibited by biological systems: | ||
+ | 1) Biological systems are typically organized in societies as a collection of interacting individual entities. These individual entities usually cooperate in a highly decentralized fashion and do not have global knowledge about the goals they are addressing. Nevertheless, | ||
+ | 2) Biological systems have to organize themselves based on the provisions (e.g. nutrients, shelter, ...) found in their environment. Likewise, ubiquitous computing systems have to integrate with their physical environment. The physical environment influences the manner in which devices interoperate and determines the operation mode. | ||
+ | 3) Biological societies are highly dynamic; groups of cooperating individuals can spontaneously be formed and are typically also resilient to the disappearance of individuals. Similarly, the setup of a ubiquitous computing systems is highly dynamic and unpredictable since smart objects may disappear as swiftly as they have appeared. These similarities between the two systems indicate that biological models may be a good way to structure software for ubiquitous computing. | ||
+ | |||
+ | This project proposes to study how two concrete biological models can contribute to better structure software for ubiquitous computing. The first model is based on stigmergy, a phenomenon used by social insects to coordinate their actions through the environment without directly communicating to one another. The second model is based on membrane computation, | ||
+ | |||
+ | The outcome of this project will enable one to structure ubiquitous computing software based on a biological paradigm of programming. Support for this mode of programming will be incorporated in a contemporary programming language, called AmbientTalk. This language is a good experimentation platform because it has been conceived from the ground up to support the development of ubiquitous computing applications; | ||