LGOAP: adaptive layered planning for real-time videogames Giuseppe Maggiore∗ , Carlos Santos∗ , Dino Dini∗ , Frank Peters∗ , Hans Bouwknegt∗ , and Pieter Spronck† ∗ NHTV University of Applied Sciences, Bre

Source URL: eldar.mathstat.uoguelph.ca

• Thought
• Operations research
• Role-playing game terminology
• Artificial intelligence
• Video game development
• Automated planning and scheduling
• Non-player character
• Planning
• Plan
• Simulation
• Partial-order planning
• Action selection

Coordination in Multiagent Reinforcement Learning: A Bayesian Approach Georgios Chalkiadakis Craig Boutilier

Source URL: www.intelligence.tuc.gr

• Game theory
• Reinforcement learning
• Nash equilibrium
• Q-learning
• Strategy
• Partially observable Markov decision process
• Action selection
• Best response
• Bellman equation
• Zero-sum game
• Agent-based model
• Solution concept

ANNEXE 2 : Critères de sélection des projets Critères généraux Pour pouvoir bénéficier d’un cofinancement, les actions soumises devront répondre dans la mesure du possible aux critères suivants : Action init

Source URL: www.olai.public.lu

Modifying MCTS for Human-like General Video Game Playing Ahmed Khalifa, Aaron Isaksen, Julian Togelius, Andy Nealen New York University, Tandon School of Engineering , , julian@togeli

Source URL: julian.togelius.com

• Artificial intelligence
• Game artificial intelligence
• Game theory
• General game playing
• Action selection
• Monte Carlo tree search
• Turing test
• Game

Introducing Time in Emotional Behavior Networks Anja Johansson and Pierangelo Dell’Acqua Abstract— In realistic scenarios an agent should not assume that the effects of its action are immediate. However, behavior net

Source URL: game.itu.dk

• Cognitive science
• Neuroscience
• Academia
• Behavioral finance
• Emotion
• Limbic system
• Subjective experience
• Affect
• Hyperbolic discounting
• Action selection
• Social actions
• Risk

Rapid Adaptation of Video Game AI Sander Bakkes, Pieter Spronck, and Jaap van den Herik A. Entertainment and Game AI Abstract— Current approaches to adaptive game AI require either a high quality of utilised domain kno

Source URL: www.csse.uwa.edu.au

• Computational neuroscience
• Cybernetics
• Video game development
• Artificial intelligence
• Windows games
• Dynamic game difficulty balancing
• Action selection
• Artificial neural network
• Machine learning
• Spring Engine

Accepted Papers and Posters for IVA 2011 Full Papers (

Source URL: iva2011.ru.is

• Artificial intelligence
• Cognitive science
• Humancomputer interaction
• Human communication
• Embodied agent
• Intelligent agent
• Virtual character
• Proxemics
• Dialog system
• Embodiment
• Virtual reality
• Action selection

International Journal of Innovation, Management and Technology CONTENTS Volume 7, Number 1, February 2016 Disagreement Constrained Action Selection in Participatory Portfolio Decision Analysis ...........................

Source URL: www.ijimt.org

Towards Morally Sensitive Action Selection for Autonomous Social Robots Matthias Scheutz1 , Bertram Malle2 , and Gordon Briggs1 1 Human-Robot Interaction Laboratory Tufts University, Medford, MA 02155, USA

Source URL: hrilab.tufts.edu

  South  Carolina  Delegate  Selection  Plan  And   Affirmative  Action  Plan     For  the    

Source URL: scdp.org