Why is Online Public Engagement for Budgeting Important? A Balancing Act White Paper Background on Public Engagement Public engagement is a broad spectrum of activities undertaken by public entities that is meant to incr

Source URL: abalancingact.com

Canada’s Mining Heritage – Balancing Heritage Preservation with the Environment, Health and Safety Charles Dumaresq www.cobaltmininglegacy.ca

Source URL: www.cobaltmininglegacy.ca

Smart Energy Case Study Christof Baumann Stephan Holzer Miguel Rodriguez

Source URL: www.tik.ee.ethz.ch

• Energy
• Electromagnetism
• Physical universe
• Electric power
• Smart grid
• Energy economics
• Power engineering
• Load balancing
• Load profile
• Demand response
• Energy industry
• Server

Incentivizing Users for Balancing Bike Sharing Systems Adish Singla Marco Santoni G´abor Bart´ok

Source URL: las.inf.ethz.ch

2nd edition Transforming Possibilities A Supplemental Newsletter Providing Information & Updates on Progress Resulting from our Balancing Incentive Grant

Source URL: www.waynearc.org

PUBLIC HOUSING ELDERLY/DISABLED PET POLICY REVISED JANUARY 2006 This policy was developed after weighing and balancing the interests of the Housing Authority of the City and County of Denver (“DHA”) tenants of design

Source URL: www.denverhousing.org

A Parameter-Free Load Balancing Mechanism For P2P Networks Tyler Steele, Vivek Vishnumurthy and Paul Francis Department of Computer Science, Cornell University, Ithaca, NY 14853 {ths22,francis,vivi}@cs.cornell.edu Abstr

Source URL: www.cs.cornell.edu

Balancing fundamental and applied research

Source URL: www.falw.vu.nl

Real-time challenge balance in an RTS game using rtNEAT Jacob Kaae Olesen, Georgios N. Yannakakis, Member, IEEE, and John Hallam that NEAT is capable of matching the challenge of the AI agent to the skill of a hard-coded

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

• Game design
• Academia
• Leisure
• Cognition
• Formal sciences
• Artificial intelligence
• Video game development
• Dynamic game difficulty balancing
• Reinforcement learning
• Learning
• Neats and scruffies
• Real-time strategy

Predicting Player Behavior in Tomb Raider: Underworld Tobias Mahlmann, Anders Drachen, Julian Togelius, Alessandro Canossa and Georgios N. Yannakakis Abstract—This paper presents the results of an explorative study on

Source URL: game.itu.dk

• Software
• Gaming
• Digital media
• Tomb Raider series
• Windows games
• Video game development
• Game design
• Action-adventure games
• Prediction
• Dynamic game difficulty balancing
• Machine learning
• Tomb Raider