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Master Class on Plan and Goal Recognition

by @meneguzzi

Presented as the SICSA Distinguished Visiting Fellow master class on October 17th, 2017 at the University of Aberdeen

Abstract

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.

Slides

Here is the latest version of the Slides for the: Master Class on Plan and Goal Recognition

Webcast

Video of the lecture is available online:

Program (17/10)

Time Activity Location
10h30am Welcome and Registration Room 224
11h Introduction Room 224
11h30 Goal Recognition with Landmarks - Part 1 Room 224
12h30 Lunch break -
13h30 Goal Recognition with Landmarks - Part 2 Room 224
14h30 Break -
14h45 Online Goal Recognition Room 224
15h15 Goal Recognition in Incomplete Domains Room 224
16h40 Applications Room 224

Related Software

Build instructions

pdflatex sicsa-planrecognition-presentation.tex && pdflatex sicsa-planrecognition-presentation.tex && pdflatex sicsa-planrecognition-presentation.tex