GCAI 2017: Author Index| Author | Papers | 
|---|
 | A |  | Andrade, Mariela | Implementation of Incremental Learning in Artificial Neural Networks |  | B |  | Baader, Franz | Extending the Description Logic ALC with More Expressive Cardinality Constraints on Concepts |  | Beierle, Christoph | Iterated contraction of propositions and conditionals under the principle of conditional preservation |  | Bhatnagar, Manas | Anemic Status Prediction using Multilayer Perceptron Neural Network Model |  | Bjorner, Nikolaj | Abduction for Learning Smart City Rules |  | Bock, Tanja | Iterated contraction of propositions and conditionals under the principle of conditional preservation |  | Boy de La Tour, Thierry | Properties of Constrained Generalization Algorithms |  | C |  | Cohen, Liron | Reasoning Inside The Box: Deduction in Herbrand Logics |  | Cox, Wesley | A Genetic Algorithm for Truck Dispatching in Mining |  | D |  | Dhanireddy, Kiran | Anemic Status Prediction using Multilayer Perceptron Neural Network Model |  | E |  | Ecke, Andreas | Extending the Description Logic ALC with More Expressive Cardinality Constraints on Concepts Basic Independence Results for Maximum Entropy Reasoning Based on Relational Conditionals |  | F |  | Farzindar, Atefeh | Anemic Status Prediction using Multilayer Perceptron Neural Network Model |  | French, Tim | A Genetic Algorithm for Truck Dispatching in Mining |  | Freuder, Eugene | Replaceability and the Substitutability Hierarchy for Constraint Satisfaction Problems |  | G |  | Gasca, Eduardo | Implementation of Incremental Learning in Artificial Neural Networks |  | H |  | Heule, Marijn | Everything's Bigger in Texas: "The Largest Math Proof Ever" |  | Hogen, Rachel | Anemic Status Prediction using Multilayer Perceptron Neural Network Model |  | I |  | Iyer, Rahul | Object-sensitive Deep Reinforcement Learning |  | J |  | Jakubův, Jan | Automated Invention of Strategies and Term Orderings for Vampire |  | Jamali, Sima | Improving SAT Solver Performance with Structure-based Preferential Bumping |  | K |  | Kern-Isberner, Gabriele | Basic Independence Results for Maximum Entropy Reasoning Based on Relational Conditionals Iterated contraction of propositions and conditionals under the principle of conditional preservation |  | Kirsch, Alexandra | A Modular Approach of Decision-Making in the Context of Robot Navigation in Domestic Environments |  | Krishnasamy Sivaprakasam, Gopalakrishnan | Secrecy-Preserving Reasoning and Query Answering in Probabilistic Description Logic Knowledge Bases |  | L |  | Lasisi, Abibat | Improved Heuristic for Manipulation of Second-order Copeland Elections |  | Lasisi, Ramoni | Improved Heuristic for Manipulation of Second-order Copeland Elections |  | Li, Yuezhang | Object-sensitive Deep Reinforcement Learning |  | Lovinger, Justin | Enhanced Simplified Memory-bounded A Star (SMA*+) |  | M |  | Mao, Dilin | Anemic Status Prediction using Multilayer Perceptron Neural Network Model |  | Marinescu, Maria-Cristina | Abduction for Learning Smart City Rules |  | Masterjohn, Joseph | Optimizing Kick Trajectory: A Comparative Study |  | Mitchell, David | Improving SAT Solver Performance with Structure-based Preferential Bumping |  | P |  | Pena, Pedro | Optimizing Kick Trajectory: A Comparative Study |  | R |  | Raglin, Adrienne | Secrecy-Preserving Reasoning and Query Answering in Probabilistic Description Logic Knowledge Bases |  | Rendón, Eréndira | Implementation of Incremental Learning in Artificial Neural Networks |  | Reynolds, Mark | A Genetic Algorithm for Truck Dispatching in Mining |  | S |  | Sagiv, Mooly | Abduction for Learning Smart City Rules |  | Sauerwald, Kai | Iterated contraction of propositions and conditionals under the principle of conditional preservation |  | Schmickl, Thomas | Quantification and Analysis of the Resilience of Two Swarm Intelligent Algorithms |  | Slutzki, Giora | Secrecy-Preserving Reasoning and Query Answering in Probabilistic Description Logic Knowledge Bases |  | Suda, Martin | Automated Invention of Strategies and Term Orderings for Vampire |  | Summers-Stay, Douglas | Secrecy-Preserving Reasoning and Query Answering in Probabilistic Description Logic Knowledge Bases |  | Sycara, Katia | Object-sensitive Deep Reinforcement Learning |  | T |  | Thenius, Ronald | Quantification and Analysis of the Resilience of Two Swarm Intelligent Algorithms |  | U |  | Urban, Josef | Automated Invention of Strategies and Term Orderings for Vampire |  | V |  | Varughese, Joshua Cherian | Quantification and Analysis of the Resilience of Two Swarm Intelligent Algorithms |  | Visser, Ubbo | Optimizing Kick Trajectory: A Comparative Study |  | W |  | Wallace, Richard | Replaceability and the Substitutability Hierarchy for Constraint Satisfaction Problems |  | While, Lyndon | A Genetic Algorithm for Truck Dispatching in Mining |  | Wilhelm, Marco | Basic Independence Results for Maximum Entropy Reasoning Based on Relational Conditionals |  | Wotawa, Franz | Quantification and Analysis of the Resilience of Two Swarm Intelligent Algorithms |  | Y |  | Yu, Ching Hao | Anemic Status Prediction using Multilayer Perceptron Neural Network Model |  | Z |  | Zhang, Xiaoqin | Enhanced Simplified Memory-bounded A Star (SMA*+) |  | Zohar, Yoni | Reasoning Inside The Box: Deduction in Herbrand Logics |  
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