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Autonomous agents modelling other agents: A comprehensive survey and open problems
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 …
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
Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …
DeepStealth: Game-Based Learning Stealth Assessment With Deep Neural Networks
A distinctive feature of game-based learning environments is their capacity for enabling
stealth assessment. Stealth assessment analyzes a stream of fine-grained student …
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
Game-based learning environments are designed to provide effective and engaging
learning experiences for students. Predictive student models use trace data extracted from …
learning experiences for students. Predictive student models use trace data extracted from …
Serious games get smart: Intelligent game-based learning environments
Intelligent game-based learning environments integrate commercial game technologies with
AI methods from intelligent tutoring systems and intelligent narrative technologies. This …
AI methods from intelligent tutoring systems and intelligent narrative technologies. This …
Deep learning-based goal recognition in open-ended digital games
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 …
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
Game‐based learning environments hold significant promise for facilitating learning
experiences that are both effective and engaging. To support individualised learning and …
experiences that are both effective and engaging. To support individualised learning and …
Early prediction of student frustration
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 …
negative affective states such as frustration and anxiety can impede progress toward …
A keyhole plan recognition model for Alzheimer's patients: First results
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 …
Alzheimer's disease at early-intermediate stages. We present a keyhole plan recognition …
Multimodal goal recognition in open-world digital games
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' …
digital games. As a core player-modeling task, goal recognition aims to recognize players' …