[HTML][HTML] Artificial intelligence and knowledge sharing: Contributing factors to organizational performance
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 …
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 …
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 …
established with members from over ten countries (www. gcrsr. net). One of the main …
Modeling, replicating, and predicting human behavior: a survey
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
Early attempts rely on game internal information for game space exploration, thus requiring …