SICSA DVF: Dr Felipe Meneguzzi “Plan and Goal Recognition”

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Date(s) - 17/10/2017
11:00 am - 4:00 pm

Sir Duncan Rice Library, University of Aberdeen

SICSA DVF Dr. Felipe Meneguzzi, Pontifícia Universidade is having a Master Class on “Plan and Goal Recognition” on Tuesday 17th October at the University of Aberdeen.  

Plan and goal recognition is the task of inferring the plan and goal of an agent through the observation of its actions and its environment and has a number of applications on computer-human interaction, assistive technologies and surveillance.

Although such techniques using planning domain theories have developed a number of very accurate and effective techniques, they often rely on assumptions of full observability and noise-free observations.

These assumptions are not necessarily true in the real world, regardless of the technique used to translate sensor data into symbolic logic-based observations.

In this tutorial class, we explain plan recognition approaches that rely on a range of assumptions about the available domain knowledge , from complete plan-libraries up to incomplete planning domain theories.

We end the tutorial explaining applications of these techniques in two specific areas: multiagent systems and video data recognition.

Dr. Felipe Meneguzzi is a researcher on multiagent systems, normative reasoning and automated planning. He is currently an associate professor/senior lecturer at Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS). Prior to that appointment he was a Project Scientist at the Robotics Institute at Carnegie Mellon University in the US. Felipe got his PhD at King’s College London in the UK and an undergraduate and masters degree at PUCRS in Brazil. He received the 2016 Google Research Awards for Latin America, and was one of four runners up to 2013 Microsoft Research Awards. His current research interests include plan recognition, hybrid planning and norm reasoning.

Registration now at Eventbrite

The host of this SICSA DVF is Dr Nir Oren, University of Aberdeen

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