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Activity Recognition with Intended Actions, Answer Set Programming Approach

Main informationBy: Alfredo Gabaldon (CENTRIA)

Date: Wednesday, 26th of November 2008, 14h00

Location: FCT/UNL, Seminar Room (Ed. II)

More information: http://www.cse.unsw.edu.au/~alfredo

AbstractWe consider an activity recognition problem as follows. We are given a description of the action capabilities of an agent being observed. This description includes a description of the preconditions and effects of atomic actions the agent may execute and a description of activities (sequences of actions). Given this description and a set of propositions about action occurrences and intended actions, called "history", the problem is to determine what has already happened, what the intentions of the agent are, and what may happen as a result of the agent acting on those intentions. Our formalization is based on a recent approach to reasoning about intended actions in A-like action languages with answer set programming implementations.
Short-bioAlfredo Gabaldon holds a PhD from the University of Toronto, where he was a member of the Cognitive Robotics Group, and MS and BS degrees from the University of Texas at El Paso. From 2004--2008 he was Research Scientist at NICTA NRL Lab in Sydney, Australia and Research Fellow at the U. of New South Wales. He joined CENTRIA as a researcher in September 2008.
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