Autonomous agents modelling other agents: A comprehensive survey and open problems

SV Albrecht, P Stone - Artificial Intelligence, 2018 - Elsevier
Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

[KNJIGA][B] Plan, activity, and intent recognition: Theory and practice

G Sukthankar, C Geib, HH Bui, D Pynadath… - 2014 - books.google.com
Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

DeepStealth: Game-Based Learning Stealth Assessment With Deep Neural Networks

W Min, MH Frankosky, BW Mott… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
A distinctive feature of game-based learning environments is their capacity for enabling
stealth assessment. Stealth assessment analyzes a stream of fine-grained student …

Predictive student modeling in game-based learning environments with word embedding representations of reflection

M Geden, A Emerson, D Carpenter, J Rowe… - International Journal of …, 2021 - Springer
Game-based learning environments are designed to provide effective and engaging
learning experiences for students. Predictive student models use trace data extracted from …

Serious games get smart: Intelligent game-based learning environments

JC Lester, EY Ha, SY Lee, BW Mott, JP Rowe… - AI Magazine, 2013 - ojs.aaai.org
Intelligent game-based learning environments integrate commercial game technologies with
AI methods from intelligent tutoring systems and intelligent narrative technologies. This …

Deep learning-based goal recognition in open-ended digital games

W Min, E Ha, J Rowe, B Mott, J Lester - Proceedings of the AAAI …, 2014 - ojs.aaai.org
While many open-ended digital games feature non-linear storylines and multiple solution
paths, it is challenging for game developers to create effective game experiences in these …

Early prediction of student knowledge in game‐based learning with distributed representations of assessment questions

A Emerson, W Min, R Azevedo… - British Journal of …, 2023 - Wiley Online Library
Game‐based learning environments hold significant promise for facilitating learning
experiences that are both effective and engaging. To support individualised learning and …

Early prediction of student frustration

SW McQuiggan, S Lee, JC Lester - International Conference on Affective …, 2007 - Springer
Affective reasoning has been the subject of increasing attention in recent years. Because
negative affective states such as frustration and anxiety can impede progress toward …

A keyhole plan recognition model for Alzheimer's patients: First results

B Bouchard, S Giroux, A Bouzouane - Applied Artificial Intelligence, 2007 - Taylor & Francis
This article addresses the problem of recognizing the behavior of a person suffering from
Alzheimer's disease at early-intermediate stages. We present a keyhole plan recognition …

Multimodal goal recognition in open-world digital games

W Min, B Mott, J Rowe, R Taylor, E Wiebe… - Proceedings of the …, 2017 - ojs.aaai.org
Recent years have seen a growing interest in player modeling to create player-adaptive
digital games. As a core player-modeling task, goal recognition aims to recognize players' …