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AAAI Fall Symposia 2013: Arlington, VA, USA
- 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013. AAAI Press 2013

1 - Discovery Informatics: AI Takes a Science-Centered View on Big Data
- Gully A. P. C. Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales:

Organizing Committee. - Gully A. P. C. Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales:

Preface. - Invited Talks.

- Kyle H. Ambert, Aaron M. Cohen, Gully A. P. C. Burns, Eilis Boudreau, M. Kemal Sönmez:

Finna: A Paragraph Prioritization System for Biocuration in the Neurosciences. - Nicholas R. Del Rio, Natalia Villanueva-Rosales, Deana Pennington, Karl Benedict, Aimee Stewart, C. J. Grady:

ELSEWeb Meets SADI: Supporting Data-to-Model Integration for Biodiversity Forecasting. - Laura Rassbach de Vesine, Kenneth M. Anderson, Marek Zreda, Christopher Zweck, Elizabeth Bradley:

Forensic Reasoning about Paleoclimatology. - Anita de Waard, Jeremy Alder, Shawn D. Burton, Richard C. Gerkin, Mark Harviston, David Marques, Shreejoy J. Tripathy, Nathaniel N. Urban:

Creating an Urban Legend: A System for Electrophysiology Data Management and Exploration. - Rinke Hoekstra, Paul Groth:

Linkitup: Link Discovery for Research Data. - David C. Kale, Samuel Di, Yan Liu, Yolanda Gil:

Capturing Data Analytics Expertise with Visualizations in Workflows. - Leonardo Salayandia, Deana Pennington, Ann Q. Gates, Frank Osuna:

MetaShare: From Data Management Plans to Knowledge-Based Systems.
2 - How Should Intelligence Be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or ?
- Sebastian Risi, Joel Lehman, Jeff Clune:

Organizing Committee. - Sebastian Risi, Joel Lehman, Jeff Clune:

Preface. - Bonny Banerjee:

How Can the Blind Men See the Elephant? - Christine Charvet, Diarmuid Cahalane, Barbara L. Finlay:

Systematic Variation in Cytoarchitectural Landscapes in the Isocortex of Primates and Rodents. - Oliver J. Coleman, Alan D. Blair:

Models of Brains: What Should We Borrow From Biology? - René Doursat:

Bridging the Mind-Brain Gap by Morphogenetic "Neuron Flocking": The Dynamic Self-Organization of Neural Activity into Mental Shapes. - André Freitas

, João Carlos Pereira da Silva, Seán O'Riain, Edward Curry:
Distributional Relational Networks. - Devin K. Grady, Mark Moll, Lydia E. Kavraki:

Combining a POMDP Abstraction with Replanning to Solve Complex, Position-Dependent Sensing Tasks. - Seng-Beng Ho:

Operational Representation - A Unifying Representation for Activity Learning and Problem Solving. - Krzysztof Krawiec, Jerry Swan:

Guiding Evolutionary Learning by Searching for Regularities in Behavioral Trajectories: A Case for Representation Agnosticism. - John Edwin Laird:

Reflections on Abstractions for General Artificial Intelligence. - Eric Mjolsness:

Quantitative Symbolic Process Models: How a Fair Fraction of Intelligence Could Be Abstracted in AI Research. - Andrew L. Nelson:

Artificial Life and Machine Consciousness. - Shashank Pathak, Luca Pulina, Giorgio Metta, Armando Tacchella:

How to Abstract Intelligence? (If Verification Is in Order). - Kenneth O. Stanley:

The Case for Evolution in Engineering Brains. - Jay Young, Nick Hawes:

Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations. - Shiqi Zhang, Mohan Sridharan:

Integrating Declarative Programming and Probabilistic Planning for Robots. - Deniz Akdemir, Nicolas Heslot, Jean-Luc Jannink:

Soft Rule Ensembles for Supervised Learning. - Samuel H. Kenyon:

An Ecological Development Abstraction for Artificial Intelligence. - Joel Lehman, Kenneth O. Stanley:

Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation. - Sebastian Risi:

A Compiler for CPPNs: Transforming Phenotypic Descriptions Into Genotypic Representations. - Devendra Singh Sachan, Umesh Tekwani, Amit Sethi:

Sports Video Classification from Multimodal Information Using Deep Neural Networks. - Gene I. Sher:

Carving Out Evolutionary Paths Towards Greater Complexity. - Omar K. Shoukry, Magda B. Fayek:

Evolutionary Scheduler for Content Pre-Fetching in Mobile Networks. - Ngo Anh Vien, Marc Toussaint:

Reasoning with Uncertainties Over Existence of Objects. - Christian C. Wagner, James G. Schiiller:

An Introduction to the Cognitive Calculus: A Calculus of the Human Mind. - Ke Wang:

Nothing Is Absolute. - Mark R. Waser:

A Myriad of Automation Serving a Unified Reflective Safe/Moral Will. - Rafael Silveira Xavier, Leandro Nunes de Castro:

Natural Information and Computation: A Proposal Based on Interaction and Decision Making.
3 - Integrated Cognition
- Christian Lebiere, Paul S. Rosenbloom:

Organizing Committee. - Christian Lebiere, Paul S. Rosenbloom:

Preface. - Ladislau Bölöni:

Integrating Perception, Narrative, Premonition and Confabulatory Continuation. - Arpan Chakraborty, Robert St. Amant:

Towards a Neurocognitive Model of Visual Perception. - Nate Derbinsky, José Bento, Jonathan S. Yedidia:

Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing. - Alfredo Gabaldon, Pat Langley, Ben Meadows:

Meta-Level and Domain-Level Processing in Task-Oriented Dialogue. - John Edwin Laird, Shiwali Mohan:

A Case Study of Knowledge Integration Across Multiple Memories in Soar. - Samuel Francisco Mascarenhas, Nuno Marques, Joana Campos, Ana Paiva:

A Model of Social Dynamics for Social Intelligent Agents. - Michael Maynord, Michael T. Cox, Matthew Paisner, Don Perlis:

Data-Driven Goal Generation for Integrated Cognitive Systems. - Kenneth M. M'Balé, Darsana P. Josyula:

Integrating Metacognition into Artificial Agents. - Benjamin D. Nye:

What's between KISS and KIDS: A Keep It Knowledgeable (KIKS) Principle for Cognitive Agent Design. - Alexei V. Samsonovich:

Modeling Human Emotional Intelligence in Virtual Agents. - Zhongzhi Shi, Jianhua Zhang, Jinpeng Yue, Baoyuan Qi:

A Motivational System for Mind Model CAM. - Andrew Michael Szabados, Seth A. Herd, Yury Vinokurov, Christian Lebiere, Randall C. O'Reilly:

Integrating Systems and Theories in the SAL Hybrid Architecture. - Niels Anne Taatgen:

The Gap between Architecture and Model: Strategies for Executive Control. - Robert Lawrence West:

The Macro Architecture Hypothesis: A Theoretical Framework for Integrated Cognition. - John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma:

Integrating Language and Cognitive Architecture.
4 - Semantics for Big Data
- Frank van Harmelen, James A. Hendler, Pascal Hitzler, Krzysztof Janowicz:

Organizing Committee. - Lora Aroyo, Chris Welty:

Measuring Crowd Truth for Medical Relation Extraction. - Wouter Beek, Stefan Schlobach, Frank van Harmelen:

Rough Set Semantics for Identity on the Web. - Adrian Boteanu, Sonia Chernova:

Unsupervised Rating Prediction based on Local and Global Semantic Models. - Dominic DiFranzo, Qingpeng Zhang, Marie Joan Kristine Gloria, James A. Hendler:

Large Scale Social Network Analysis Using Semantic Web Technologies. - Anna Lisa Gentile, Ziqi Zhang, Fabio Ciravegna:

Web Scale Information Extraction with LODIE. - Craig A. Knoblock, Pedro A. Szekely:

Semantics for Big Data Integration and Analysis. - Dawn J. Lawrie, Tim Finin, James Mayfield, Paul McNamee:

Comparing and Evaluating Semantic Data Automatically Extracted from Text. - Wolfgang Mayer, Markus Stumptner, Georg Grossmann, Andreas Jordan:

Semantic Interoperability in the Oil and Gas Industry: A Challenging Testbed for Semantic Technologies. - Thomas William Narock, Pascal Hitzler:

Crowdsourcing Semantics for Big Data in Geoscience Applications. - Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen:

Large-Scale Knowledge Graph Identification Using PSL. - Richard B. Scherl:

Developing Semantic Classifiers for Big Data. - Wouter Beek, Stefan Schlobach:

Pragmatic Semantics for the Web of Data. - Jennifer Sleeman, Tim Finin:

Entity Type Recognition for Heterogeneous Semantic Graphs. - Krishnaprasad Thirunarayan, Amit P. Sheth:

Semantics-Empowered Approaches to Big Data Processing for Physical-Cyber-Social Applications. - Jacopo Urbani:

Three Laws Learned from Web-Scale Reasoning.
5 - Social Networks and Social Contagion: Web Analytics and Computational Social Science
- Samarth Swarup:

Organizing Committee. - Samarth Swarup:

Preface. - Myriam Abramson, Shantanu Gore:

Associative Patterns of Web Browsing Behavior. - Nibir Bora, Vladimir Zaytsev, Yu-Han Chang, Rajiv T. Maheswaran:

Spatiotemporal Patterns in Social Networks. - Joseph Hannigan, Guillermo Hernandez, Richard M. Medina, Patrick Roos, Paulo Shakarian:

Mining for Spatially-Near Communities in Geo-Located Social Networks. - Dimitrios Vogiatzis:

Influence Study on Hyper-Graphs. - Cheng Wang, David S. Hachen, Omar Lizardo:

The Co-Evolution of Communication Networks and Drinking Behaviors. - Liguo Yu, Srini Ramaswamy:

A Study of SourceForge Users and User Network. - Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe:

Modeling Crime Diffusion and Crime Suppression on Transportation Networks: An Initial Report.

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