The talk ‘Networks, networks, and more networks: applications in humanities, data science, and machine learning’ will be presented on October 1st, at 14:45, in room B004, moderated by Prof. Rosaldo Rossetti (DEI).
Abstract:
“It is known that networks or graphs can be used in machine learning and data science to represent and analyze data that has complex relationships. Besides these uses, networks are also relevant to the overall AI agenda in at least two aspects. First, it relates to automated data gathering and language models in the semantic web, since the actual data have to be acquired in some manner in order to form the graphs. Second, it can be used to accelerate learning tasks, as in the case of reinforcement learning. In this talk I present examples of how data is acquired and used in applications in the Humanities (history, storytelling) in order to discover patterns and/or to investigate assumptions. Then, I discuss applications on data science and machine learning, as for instance the use of networks in reinforcement learning, with examples from urban mobility and car to infrastructure communication.”
About the Speaker:
Ana Bazzan is a Full Professor of Computer Science at the Institute of Informatics, Universidade Federal do Rio Grande do Sul (UFRGS), in Porto Alegre, Brazil. Her research focuses on multiagent systems, in particular on agent-based modeling and simulation (ABMS), and multiagent learning for the transportation domain. Since 1996, she has collaborated with various researchers in the application of ABMS and game theory to social science domains, such as the emergence of cooperation, the prisoner’s dilemma and public goods games. In recent years, she has contributed to different topics regarding smart cities, focusing on transportation, as well as on the synergies between multiagent systems, machine learning, and complex systems. In 2014, Bazzan was General Co-chair of AAMAS (the premier conference in the area of autonomous agents and multiagent systems).