A dynamic memory model is proposed in which an agent "learns" a new agent by means of recommendation. The agents can also "remember" and "forget." The memory size is decreased while the population size is kept constant. "Fame" emerged as a few agents become very well known in expense of the majority being completely forgotten. The minimum and the maximum of fame change linearly with the relativ...

Tomorrow’s eternal software system will co-evolve with their context: their metamodels must adapt at runtime to ever-changing external requirements. In this paper we present FAME, a polyglot library that keeps metamodels accessible and adaptable at runtime. Special care is taken to establish causal connection between fame-classes and host-classes. As some host-languages offer limited reflection...

D I T I A N , * , † Y U H A N G W A N G , ‡ M I C H E L L E B E R G I N , † , ⊥ Y O N G T A O H U , † Y O N G Q I A N G L I U , § A N D A R M I S T E A D G . R U S S E L L † School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, School of Earth and Atmospheric Science, Georgia Institute of Technology, Atlanta, Georgia 30332, Environmental Protect...

Forgetting, in description logic, is a non-standard reasoning technique. The aim of this technique is to eliminate concept and role symbols from a knowledge base, whilst preserving all logical consequences up to the remaining symbols. In this research, three forgetting tools were used to understand the relationship between the approaches on which they are based: SCAN, LETHE and FAME. The approa...