MAS – Agent and Systems Modelling

Specific research topics pursued by MAS include: 1) Artificial Intelligence, with a special focus on agents, including aspects such as agent modelling, agent architectures, multi-agent models and architectures, machine learning, emotion modelling, mobile robotics, self-organisation and social simulation; 2) Agent Societies, including mobile robotics and evolutionary models for building artificial neural networks, swarm cognition, evolutionary algorithms for multi-set representation of populations and operators and symbiogenetic approaches; 3) Data Visualization models of augmented reality and interactive Virtual Reality applications for phobia or anxiety treatments; 4) Data mining and knowledge discovery using large datasets from Omics; 5) Development of tools for integrative visualization of biodata, and user-friendly accessibility to biodata (Biodatabases).

The integration of MAS activities within BioISI develop effortlessly from the bridges that are established between artificial life and biology, as well as the link between data mining and bioinformatics. On the other hand, research in areas like social simulation, agent modelling and visualization are clearly extension areas that enrich and complete the research of BioISI Biology-oriented groups.