Some benefits of a dialogue between evolutionary robotics and developmental ethology are presented with discussion of how developmental models might inform approaches to evolution...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
In a mobile computing system, caching data items at the mobile clients is important to reduce the data access delay in a unreliable and low bandwidth mobile network. However, effi...
Joe Chun-Hung Yuen, Edward Chan, Kam-yiu Lam, Hei-...
Applications that use collections of very large, distributed datasets have become an increasingly important part of science and engineering. With high performance wide-area networ...
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...