MAS – Agent and Systems Modelling Lino Almeida
MAS – Agent and Systems Modelling
Agent and Systems Modelling Group (MAS)
carries out research in the area of Artificial Intelligence in general, with a focus on agent based approaches for modelling intelligent systems. Within BioISI, MAS explores links between biology and physics with artificial intelligence, self-organized systems and bio-inspired computation.
MAS is organised as a whole research group, nevertheless formation of informal sub-groups is encouraged and this has occurred to carry out research focused on two specific thematic areas, namely: GUESS: focusing on social simulation; GruVA: dedicated to artificial life. Research is otherwise organised in a flat structure, easing cooperation among members around different themes.
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.
PI’s: Luís Correia | …
Post Docs: R. Mills| R. Antunes
Other members: A.P. Claúdio | I. Nunes | J. Balsa | J. Neto | P. Mariano | P. Trigo |L. Morgado
PhD Students: F. Silva| J. Gomes | D. Nunes | C. Lemos | N. Magessi | C. Reginaldo | P. Pombinh
Castelli M, et al. (2015) Geometric Semantic Genetic Programming with Local Search. Proc. GECCO ’15, pp. 999–1006. PMID
Gomes J, et al. (2015) Cooperative Coevolution of Partially Heterogeneous Multiagent Systems. Proc. AAMAS 2015. pp. 297–305. PMID
Nunes D and Antunes L. (2015) Modelling structured societies: A multi-relational approach to context permeability. Artificial Intelligence vol. 229: 175-199. PMID
Soeiro J, et al. (2015) Visualizing the Brain on a Mixed Reality Smartphone Application. Proc. EMBC’15, pp 5090-5093. PMID
Silva F, et al. (2015) odNEAT: An algorithm for decentralised online evolution of robotic controllers. Evol. Comp., 23(3):421–449. PMID