In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
OOP style requires programmers to organize their code according to objects (or nouns, using natural language as a metaphor), causing a program’s actions (verbs) to become scatte...
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations. Instead of using a full run to evaluate a s...
Grigori Fursin, Albert Cohen, Michael F. P. O'Boyl...
Multi-agent system(MAS) is a blooming research area, which exhibits a new paradigm for the design, modelling and implementation of complex systems. A significant amount of effort...
Mengqiu Wang, Mariusz Nowostawski, Martin K. Purvi...