MLIS 2014 - The AAAI 2014 Workshop on Machine Learning for Interactive Systems: Bridging the Gap between Perception, Action and Communication
Topics/Call fo Papers
Intelligent systems or robots that interact with their environment by perceiving, acting or communicating often face a challenge in how to bring these different concepts together. One of the main reasons for this challenge is the fact that the core concepts in perception, action and communication are typically studied by different communities: the computer vision, robotics and natural language processing communities, among others, without much interchange between them. As machine learning lies at the core of these communities, it can act as a unifying factor in bringing the communities closer together. Unifying these communities is highly important for understanding how state-of-the-art approaches from different disciplines can be combined (and applied) to form generally interactive intelligent systems.
Format
We propose a one day workshop with invited talks by renowned researchers in the field of interactive learning systems, a technical session with oral presentations of research papers, and a closing round with a panel discussion on advances and challenges in the field. Each paper will be reviewed by three PC members. Our confirmed invited speakers include Kristen Grauman (University of Texas at Austin) and Andrea Thomaz (Georgia Institute of Technology).
Topics
Topics of interest include, but are not limited to the following:
Machine Learning:
Reinforcement learning
Supervised learning
Unsupervised learning
Active learning
Learning from human feedback
Learning from teaching, tutoring, instruction and demonstration
Combinations or generalisations of the above
Interactive Systems:
(Socially) interactive robotics
Embodied virtual agents
Avatars
Multimodal systems
Cognitive (robotics) architectures
Types of Communication:
System interacting with a single human user
System interacting with multiple human users
System interacting with the environment
System interacting with other machines
Format
We propose a one day workshop with invited talks by renowned researchers in the field of interactive learning systems, a technical session with oral presentations of research papers, and a closing round with a panel discussion on advances and challenges in the field. Each paper will be reviewed by three PC members. Our confirmed invited speakers include Kristen Grauman (University of Texas at Austin) and Andrea Thomaz (Georgia Institute of Technology).
Topics
Topics of interest include, but are not limited to the following:
Machine Learning:
Reinforcement learning
Supervised learning
Unsupervised learning
Active learning
Learning from human feedback
Learning from teaching, tutoring, instruction and demonstration
Combinations or generalisations of the above
Interactive Systems:
(Socially) interactive robotics
Embodied virtual agents
Avatars
Multimodal systems
Cognitive (robotics) architectures
Types of Communication:
System interacting with a single human user
System interacting with multiple human users
System interacting with the environment
System interacting with other machines
Other CFPs
- The AAAI 2014 Workshop on Intelligent Techniques for Web Personalization and Recommendation
- The AAAI 2014 Workshop on Intelligent Cinematography and Editing
- The AAAI 2014 Workshop on Discovery Informatics: Scientific Discoveries Enabled by AI
- The AAAI 2014 Workshop on Computer Poker and Imperfect Information
- The AAAI 2014 Workshop on Artificial Intelligence Applied to Assistive Technologies and Smart Environments
Last modified: 2014-02-13 22:21:26