Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Organisational centred multi-agent systems (MAS) have proved to be eective to regulate agents' activities. Nevertheless, population and/or environmental changes may lead to a...
Jordi Campos Miralles, Marc Esteva, Maite Ló...
Organizational notions such as roles, norms (e.g., obligations and permissions), and services are increasingly viewed as natural concepts to manage the complexity of software devel...
M. Birna van Riemsdijk, Koen V. Hindriks, Catholij...
This demonstration will be the presentation of a new testbed for joint activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks Worl...
Matthew Johnson, Catholijn M. Jonker, M. Birna van...
A Normative Multi-Agent System consists of autonomous agents who must comply with social norms. Different kinds of norms make different assumptions about the cognitive architecture...
Brigitte Burgemeestre, Joris Hulstijn, Yao-Hua Tan