[KİTAP][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 …

Digital learning games in Artificial Intelligence in Education (AIED): A review

BM McLaren, HA Nguyen - Handbook of Artificial Intelligence in …, 2023 - elgaronline.com
Digital and computer games have captured the attention and imagination of people around
the world. Lobel et al.(2017) report that Dutch children (7 to 12 years old) play digital games …

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 …

[PDF][PDF] Goal recognition design with stochastic agent action outcomes

C Wayllace, P Hou, W Yeoh, TC Son - IJCAI, 2016 - par.nsf.gov
Abstract Goal Recognition Design (GRD) problems involve identifying the best ways to
modify the underlying environment that the agents operate in, typically by making a subset of …

[PDF][PDF] New Metrics and Algorithms for Stochastic Goal Recognition Design Problems.

C Wayllace, P Hou, W Yeoh - IJCAI, 2017 - yeoh-lab.wustl.edu
Abstract Goal Recognition Design (GRD) problems involve identifying the best ways to
modify the underlying environment that agents operate in, typically by making a subset of …

On the design and development of an assessment system with adaptive capabilities

A Bernardi, C Innamorati, C Padovani… - … and Intelligent Systems …, 2019 - Springer
Individual assessment is an important tool in this society. Tests can be created according to
the Classical Test Theory (CTT) or to the Item Response Theory (IRT), the latter giving the …

Game-theoretic goal recognition models with applications to security domains

S Ang, H Chan, AX Jiang, W Yeoh - … and Game Theory for Security: 8th …, 2017 - Springer
Motivated by the goal recognition (GR) and goal recognition design (GRD) problems in the
artificial intelligence (AI) planning domain, we introduce and study two natural variants of the …

[PDF][PDF] Recognizing player goals in open-ended digital games with markov logic networks

EY Ha, JP Rowe, BW Mott, JC Lester… - Plan, Activity and …, 2014 - intellimedia.ncsu.edu
Goal recognition in digital games centers on identifying the concrete objectives that a player
is attempting to achieve given a domain model and a sequence of player actions in a virtual …

Personalizing embedded assessment sequences in narrative-centered learning environments: A collaborative filtering approach

W Min, JP Rowe, BW Mott, JC Lester - … 2013, Memphis, TN, USA, July 9 …, 2013 - Springer
A key challenge posed by narrative-centered learning environments is dynamically tailoring
story events to individual students. This paper investigates techniques for sequencing story …