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Areas for the 2011 AAAI Conference

Artificial Intelligence and Lisp Lecture 13 Additional Topics in Artificial Intelligence LiU Course TDDC65 Autumn Semester, 2010 http://www.ida.liu.se/ext/TDDC65/. Areas for the 2011 AAAI Conference. Black = addressed in this course, Blue = natural continuation using similar methods,

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Areas for the 2011 AAAI Conference

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  1. Artificial Intelligence and LispLecture 13Additional Topics in Artificial IntelligenceLiU Course TDDC65Autumn Semester, 2010http://www.ida.liu.se/ext/TDDC65/

  2. Areas for the 2011 AAAI Conference Black = addressed in this course, Blue = natural continuation using similar methods, Red = uses other frame of reference (control engineering, probability theory, info science, (computational) linguistics, cognitive psychology) but in combination with KR • Agent-basedand multiagentsystems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration, and extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systemsProbabilistic Reasoning • Natural Language Processing Robotics • Planning and Scheduling Web and information systems

  3. Areas for the 2011 AAAI Conference • Agent-basedand multiagentsystems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration, and extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systemsProbabilistic Reasoning • Natural Language Processing Robotics • Planning and Scheduling Web and information systems

  4. Robotics Area • Agent-basedand multiagentsystems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration, and extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systemsProbabilistic Reasoning • Natural Language Processing Robotics • Planning and Scheduling Web and information systems

  5. Human-Machine Interaction • Agent-basedand multiagentsystems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration, and extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systemsProbabilistic Reasoning • Natural Language Processing Robotics • Planning and Scheduling Web and information systems

  6. Large Knowledgebases and their Use • Agent-based and multiagentsystems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration & extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systemsProbabilistic Reasoning • Natural Language Processing Robotics • Planning and SchedulingWeb and information systems

  7. Search and Probabilistic Methods • Agent-basedand multiagentsystems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration, and extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systemsProbabilistic Reasoning • Natural Language Processing Robotics • Planning and Scheduling Web and information systems

  8. Topics for Today's Overview • Agent-based and multiagent systems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration, and extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systems Probabilistic Reasoning • Natural Language Processing Robotics • Planning and Scheduling Web and information systems

  9. Probabilistic Methods • Agent-basedand multiagentsystems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration, and extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systemsProbabilistic Reasoning • Natural Language Processing Robotics • Planning and Scheduling Web and information systems

  10. Areas for the 2011 AAAI Conference • Agent-based and multiagentsystems • Cognitive modeling and human interaction • Commonsense reasoning • Computer vision • Constraint satisfaction, search, and optimization • Evolutionary computation • Game playing and interactive entertainment • Information retrieval, integration, and extraction • Knowledge acquisition and ontologies • Knowledge representation and reasoning • Machine learning and data mining • Model-based systemsProbabilistic Reasoning • Natural Language Processing Robotics • Planning and Scheduling Web and information systems

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