AGI-22: AGI-22: The 15th Conference on Artificial General Intelligence Seattle And Virtual, WA, United States, August 19-22, 2022 |
Conference website | https://agi-conf.org/2022 |
Submission link | https://easychair.org/conferences/?conf=agi22 |
Submission deadline | April 30, 2022 |
The 15th annual conference on Artificial General Intelligence (AGI−22) will take place in St. Petersburg, Russia, and Virtually, June 21-24, 2022
The AGI conference series is the premier international event aimed at advancing the state of knowledge regarding the original goal of the AI field — the creation of thinking machines with general intelligence at the human level and possibly beyond.
Submission Guidelines
As in prior AGI conferences, we welcome contributed papers on all aspects of AGI R&D, with the key proviso that each paper should somehow contribute specifically to the development of Artificial General Intelligence.
The proceedings of AGI-22 will be published as a book in Springer’s Lecture Notes in AI series, and all the accepted papers will be available online. Papers must be written in either LaTeX (preferred) or Word. Author guidelines and templates can be downloaded here and additional information about Springer’s Lecture Notes in AI and CS series is here. Two types of papers will be accepted:
- Regular papers, with a length limit of 10 pages, presenting new research results or rigorously describing new research ideas
- Short technical communications, with a limit of 4 pages, summarizing results and ideas of interest to the AGI audience, including reports about recent publications, position papers, and preliminary results.
List of Topics
Appropriate topics for contributed papers include, but are not restricted to:
- Agent Architectures
- Autonomy
- Benchmarks and Evaluation
- Cognitive Modeling
- Collaborative Intelligence
- Creativity
- Distributed AI
- Formal Models of General Intelligence
- Implications of AGI for Society, Economy and Ecology
- Integration of Different Capabilities
- Knowledge Representation for General Intelligence
- Languages, Specification Approaches and Toolkits
- Learning, and Learning Theory
- Motivation, Emotion and Affect
- Multi-Agent Interaction
- Natural Language Understanding
- Neural-Symbolic Processing
- Perception and Perceptual Modeling
- Philosophy of AGI
- Reasoning, Inference and Planning
- Reinforcement Learning
- Robotic and Virtual Embodiment
- Simulation and Emergent Behavior
- Solomonoff Induction