[HTML][HTML] Artificial intelligence and knowledge sharing: Contributing factors to organizational performance

F Olan, EO Arakpogun, J Suklan, F Nakpodia… - Journal of Business …, 2022 - Elsevier
The evolution of organizational processes and performance over the past decade has been
largely enabled by cutting-edge technologies such as data analytics, artificial intelligence …

[PDF][PDF] Game based learning with artificial intelligence and immersive technologies: An overview.

YY Dyulicheva, AO Glazieva - CS&SE@ SW, 2021 - academia.edu
The usage of serious games with AI and immersive technologies in education is considered
in the paper. We discussed the development of serious educational games with adaptability …

[HTML][HTML] Artificial intelligence and real-world data for drug and food safety–A regulatory science perspective

S Thakkar, W Slikker Jr, F Yiannas, P Silva… - Regulatory Toxicology …, 2023 - Elsevier
Abstract In 2013, the Global Coalition for Regulatory Science Research (GCRSR) was
established with members from over ten countries (www. gcrsr. net). One of the main …

Modeling, replicating, and predicting human behavior: a survey

A Fuchs, A Passarella, M Conti - ACM Transactions on Autonomous and …, 2023 - dl.acm.org
Given the popular presupposition of human reasoning as the standard for learning and
decision making, there have been significant efforts and a growing trend in research to …

Predicting game difficulty and churn without players

S Roohi, A Relas, J Takatalo, H Heiskanen… - Proceedings of the …, 2020 - dl.acm.org
We propose a novel simulation model that is able to predict the per-level churn and pass
rates of Angry Birds Dream Blast, a popular mobile free-to-play game. Our primary …

Automated gameplay testing and validation with curiosity-conditioned proximal trajectories

A Sestini, L Gisslén, J Bergdahl… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article proposes a novel deep reinforcement learning algorithm to perform automated
analysis and detection of gameplay issues in complex 3-D navigation environments. The …

A concise review of intelligent game agent

H Li, X Pang, B Sun, K Liu - Entertainment Computing, 2024 - Elsevier
Intelligent game agents are crafted using AI technologies to mimic player behavior and
make decisions autonomously. Over the past decades, the scope of intelligent agents has …

Adopting artificial intelligence technology for network operations in digital transformation

S Min, B Kim - Administrative Sciences, 2024 - mdpi.com
This study aims to define factors that affect Artificial Intelligence (AI) technology introduction
to network operations and analyze the relative importance of such factors. Based on this …

Towards informed design and validation assistance in computer games using imitation learning

A Sestini, J Bergdahl, K Tollmar… - … IEEE Conference on …, 2023 - ieeexplore.ieee.org
In games, as in many other domains, design validation and testing is a significant challenge
as systems are growing in size and manual testing is becoming infeasible. In this position …

Inspector: Pixel-based automated game testing via exploration, detection, and investigation

G Liu, M Cai, L Zhao, T Qin, A Brown… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
Deep reinforcement learning (DRL) has attracted much attention in automated game testing.
Early attempts rely on game internal information for game space exploration, thus requiring …