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  1. Chapter and Conference Paper

    Learning Analytics of Playing Space Fortress with Reinforcement Learning

    In this paper we analyze the learning process of a neural network-based reinforcement learning algorithm while making comparisons to characteristics of human learning. For the task environment we use the game ...

    Joost van Oijen, Jan Joris Roessingh, Gerald Pop**a in Adaptive Instructional Systems (2019)

  2. Chapter and Conference Paper

    Application of Artificial Intelligence to Adaptive Instruction - Combining the Concepts

    In recent years, instructional systems for individuals and teams, including virtual environments, serious games, simulator-based training and on-the-job/live training, have been supplemented by Adaptive Instr...

    Jan Joris Roessingh, Gerald Pop**a, Joost van Oijen in Adaptive Instructional Systems (2019)

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    Chapter and Conference Paper

    Evolutionary Dynamic Scripting: Adaptation of Expert Rule Bases for Serious Games

    Automatically generating behavior for Non-Player Characters (NPCs) in serious games can be problematic as the specification of their behavior heavily relies on the availability of domain expertise. This expert...

    Reinier Kop, Armon Toubman, Mark Hoogendoorn in Current Approaches in Applied Artificial I… (2015)

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    Article

    Tailoring a cognitive model for situation awareness using machine learning

    Using a pure machine learning approach to enable the generation of behavior for agents in serious gaming applications can be problematic, because such applications often require human-like behavior for agents ...

    Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh in Applied Intelligence (2015)

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    Chapter and Conference Paper

    Dynamic Scripting with Team Coordination in Air Combat Simulation

    Traditionally, behavior of Computer Generated Forces (CGFs) is controlled through scripts. Building such scripts requires time and expertise, and becomes harder as the domain becomes richer and more life-like....

    Armon Toubman, Jan Joris Roessingh in Modern Advances in Applied Intelligence (2014)

  6. No Access

    Chapter and Conference Paper

    Co-evolutionary Learning for Cognitive Computer Generated Entities

    In this paper, an approach is advocated to use a hybrid approach towards learning behavior for computer generated entities (CGEs) in a serious gaming setting. Hereby, an agent equipped with cognitive model is ...

    Xander Wilcke, Mark Hoogendoorn in Modern Advances in Applied Intelligence (2014)

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    Chapter and Conference Paper

    Learning Parameters for a Cognitive Model on Situation Awareness

    Cognitive models are very useful to establish human-like behavior in an agent. Such human-like behavior can be essential in for instance serious games in which humans have to learn a certain task, and are eith...

    Richard Koopmanschap, Mark Hoogendoorn in Recent Trends in Applied Artificial Intell… (2013)

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    Chapter and Conference Paper

    A Model of Team Decision Making Using Situation Awareness

    In order for agents to successfully make decisions about task allocations within a team, two elements are essential: (1) a good judgement of the situation, and (2) once the situation is known have a good decis...

    Mark Hoogendoorn, Pieter Huibers in Modern Advances in Intelligent Systems and… (2012)