IJCAI-09: Grand Challenges for Reasoning from Experiences

Workshop Topics

Reasoning from experiences is a topic of interest to researchers studying the following AI and related topic areas (among others).

Technologies

• Learning: bayesian/statistical learning; instance-based learning; reinforcement learning; statistical relational learning; transductive inference; transfer learning.
• Knowledge: case-based problem solving and interpretation; cognitive architectures; prototype-based classification; ontologies, languages, and reasoning; reasoning with data provenance.
• Reasoning: computational analogy; episodic reasoning; fuzzy logic; memory-based reasoning; meta-cognitive reasoning; model-based reasoning.

Applications

• Interaction: adaptive hypermedia; user modelling.
• Autonomy: ambient intelligence; autonomic computing; computer games; robotics.
• Society: experiences mining from text, multimedia, interaction; opinion mining in social networks; recommender systems.
• Text: information extraction; natural language (e.g. generation, word pronunciation); text reuse.
• Knowledge: biomedical systems; information logistics; intelligent tutoring systems; plan replay; retrieval and reuse.