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Exploring Artificial Intelligence through Neural Networks: Classification and Problem Solving

This project focuses on the application of artificial intelligence techniques, specifically using self-organizing neural networks for classification problems, such as identifying whether an item is an "apple or pear." It also delves into the mining of correlated items from data sets, exploring causal and temporal relations through examples like "The Why Project." Additionally, practical applications in sensory and motor domains, including sound localization using binaural hearing and music transformation into dance movements, are examined. The project showcases innovation through natural language interfaces in toy cars and database queries for flight information.

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Exploring Artificial Intelligence through Neural Networks: Classification and Problem Solving

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  1. 74.419 Artificial IntelligenceIndividual Research ProjectSuggestions

  2. Classification Problems • "Apples or Pears?" • Classification with self-organizing neural networks; unsupervised learning • "Amazon.com" • Learning of correlated items in a data set (data mining with NNs) • "The Why Project" • Extraction of causal/temporal relations in a data set (temporal data mining with NNs)

  3. Sensor and Motor Problems • "Where are you?" • Binaural hearing for locating a sound source • "The Dancing Skeleton" • Transformation of music into dance, using a skeleton of connected limbs. • "Don't spill it!" • Pouring liquid from a container into a class (NNs; control problem; pole balancing)

  4. Agents and Language • "Don't run into the wall, please." • Natural language interface for a toy car • "When is the next flight to Hawaii?" • Natural Language access to a data base (e.g. flight information at Winnipeg Airport) • "The Classroom Problem" • Agreement (decision making) in groups (with constraint satisfaction NNs)

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