Agent teams for design problems
暂无分享,去创建一个
Leandro Soriano Marcolino | Milind Tambe | David Jason Gerber | Haifeng Xu | Evangelos Pantazis | Boian Kolev | Samori Price
[1] Naghmi Shireen,et al. Interacting with Thousands: A Parametric-Space Exploration Method in Generative Design , 2014, Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA).
[2] Michael Donn,et al. Abstraction versus Case Based: A Comparative Study of Two Approaches to Support Parametric Design , 2015, Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA).
[3] Ariel D. Procaccia,et al. A Maximum Likelihood Approach For Selecting Sets of Alternatives , 2012, UAI.
[4] Edith Elkind,et al. Electing the Most Probable Without Eliminating the Irrational: Voting Over Intransitive Domains , 2014, UAI.
[5] Gjergji Kasneci,et al. Crowd IQ: aggregating opinions to boost performance , 2012, AAMAS.
[6] Muhammad Khusairi Osman,et al. Weather Forecasting Using Photovoltaic System and Neural Network , 2010, 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks.
[7] Vincent Conitzer,et al. A Maximum Likelihood Approach towards Aggregating Partial Orders , 2011, IJCAI.
[8] Klaus Bollinger,et al. ACCOMMODATING CHANGE IN PARAMETRIC DESIGN , 2014 .
[9] Robi Polikar. Ensemble learning , 2009, Scholarpedia.
[10] Leandro Soriano Marcolino,et al. Diverse Randomized Agents Vote to Win , 2014, NIPS.
[11] David Jason Gerber,et al. Designing-in performance: A framework for evolutionary energy performance feedback in early stage design , 2014 .
[12] Ulrich Bogenstätter,et al. Prediction and optimization of life-cycle costs in early design , 2000 .
[13] Ariel D. Procaccia,et al. Better Human Computation Through Principled Voting , 2013, AAAI.
[14] David C. Parkes,et al. Random Utility Theory for Social Choice , 2012, NIPS.
[15] Vincent Conitzer,et al. Common Voting Rules as Maximum Likelihood Estimators , 2005, UAI.
[16] David Jason Gerber,et al. Evolutionary energy performance feedback for design: Multidisciplinary design optimization and performance boundaries for design decision support , 2014 .
[17] C. List,et al. Epistemic democracy : generalizing the Condorcet jury theorem , 2001 .
[18] Leandro Soriano Marcolino,et al. Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces , 2014, AAAI.
[19] H. Nurmi. Comparing Voting Systems , 1987 .
[20] Nikunj C. Oza,et al. Online Ensemble Learning , 2000, AAAI/IAAI.
[21] Craig Boutilier,et al. A POMDP formulation of preference elicitation problems , 2002, AAAI/IAAI.
[22] Ariel D. Procaccia,et al. When do noisy votes reveal the truth? , 2013, EC '13.
[23] David Jason Gerber,et al. Designing in complexity: Simulation, integration, and multidisciplinary design optimization for architecture , 2014, Simul..