From: debbieduong62@gmail.com   
      
   Please reply to debbieduong62@gmail.com   
      
   Job Category: Artificial Intelligence Software Developer   
      
   Clearance: US DoD Secret required.   
      
   Experience: Five years experience in Artificial Intelligence related   
   programming or a Master's Degree in Artificial Intelligence or a   
   related field.   
      
   Skills: Experience in the following, or similar, subjects a plus:   
   Software Patterns, Agent-Based Simulation, Software Optimization and   
   Scalability, Open Source Contributions, Ontologies, Inference Engines,   
   Evolutionary Computation, Neural Networks, Bayesian Networks, Fuzzy   
   Expert Systems, Data Mining, Case-Based Reasoning, Game Trees and Game   
   Theory, Social Network Analysis, Statistical Design of Experiments.   
      
   Programming Language:  Java   
      
   Other Software and Development Tools:  Experience in the following, or   
   similar, software a plus - Protege, Owl, Pellet, Jena, Jastor, Weka,   
   Repast, Groovy, ECJ, Ptolemy, JFuzzyLogic, Joone, Jung, R, Jboss,   
   Prefuse   
      
   Job Description:   
      
   Artificial Intelligence Software Developers needed for cutting-edge   
   Computational Social Science simulation project.   Will be working in   
   a Team based environment with other SW developers.   
      
   Potential Task areas include:   
      
   i)	Scientific Experimentation and Data Mining:  Enhance existing   
   software to support finding patterns in wargame events, for the   
   purposes of testing hypotheses about relations between events and for   
   discovering relationships between events.   Incorporate open source   
   data mining and artificial intelligence software, such as, for   
   example, Weka and ECJ, to automatically find patterns in moves and   
   outcomes   
      
   ii)	Interoperation of Hybrid Models:  Support the interoperation of   
   hybrid models, to ensure that models that have multiple resolutions   
   and perspectives share meaning.   Through xml, implement the   
   translations between models.  Integrate with integration tools that   
   support semantic interoperation through ontologies, and other   
   methodologies such as, for example, the COMPOEX backplane or   
   Ptolemy.   
      
   Help implement a Hub and Spoke design for translation between data   
   models a system by which simulation models and data of different data   
   models may interoperate through their own individual data models, a   
   common data model, and a translation data model between their own   
   individual data models and the common data model.   
      
   Enhance the software enforcement of a data model "contract" using   
   ontology-based software engineering techniques.  Extend an existing   
   example implemented in Jena and Jastor, converting it to a Dynamic   
   Object Model (DOM) language (such as, for example, Groovy).   
      
   iii)	Support for Conflict Resolution between models.  Support the   
   conflict resolution of possibly conflicting hybrid models, for the   
   purposes of making a unified, coherent picture of the social   
   environment.   
      
   Integrate open source software (such as, for example, JFuzzyLogic) to   
   match the simulation output to correlative social study data, and   
   establish the correlative relations that should exist between and   
   within component social science models in support of validation and   
   consensus building of possibly conflicting models.   
      
   Implement a framework for consensus-building.  Make possible the   
   specification of arbitrary schemes for developing a model consensus.   
   The framework would have a way to handle issues of integration, for   
   example, the models may conflict by having mutually exclusive or   
   uncorrelated behaviors.   The framework would allow various consensus   
   schemes to be switched in and out.  Implement a simple prototype   
   weighted voting scheme in the framework   
      
   iv)	Support for Component Models.  Enhance the Nexus Intelligent   
   Adaptive Agent Based Models to increase their generality, scalability,   
   efficiency, and ability to work as component models for other   
   software.   
      
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