First International Summer School
in Artificial General Intelligence
Artificial Brain Laboratory
Xiamen University, Xiamen, China
Main summer school: June 22 –July 3, 2009
OpenCog Lab: July 6-9, 2009
TheArtificial Brain Laboratory at Xiamen University is pleased to offer a 2 week summerschool in Artificial General Intelligence, during the period June 22 –July 10 2009.
Thesummer school proper will be followed by a 4-day OpenCog lab, aimed at thosewho wish to get hands-on experience with the OpenCog AGI toolkit, with expertsavailable to provide assistance.
Thecourse is aimed at graduate students and postdoctoral researchers, although itmay also be appropriate for some advanced undergraduates and independent orindustry researchers.
Instructorsare international researchers experienced in various areas of ArtificialGeneral Intelligence and related fields.
Thelanguage of instruction will be English.
Theformat is loosely modeled on the
Faculty
For more complete faculty biographies, click here.
| Faculty Member | Relevant Specialty Areas |
| Dr. Hugo de Garis http://ai.xmu.edu.cn/artificialbrain/degaris http://ai.xmu.edu.cn/artificialbrain | Evolvable hardware, evolvable neural networks, artificial brains, robotics |
| Dr. Ben Goertzel http://en.wikipedia.org/wiki/Ben_Goertzel http://goertzel.org/resume.htm | Integrative AGI architectures, probabilistic inference, evolutionary learning, virtual worlds |
| Dr. Pei Wang http://www.cis.temple.edu/~pwang/ http://nars.wang.googlepages.com/home | theory of intelligence, reasoning, learning |
| Dr. Joscha Bach http://lifeboat.com/ex/bios.joscha.bach | AGI architectures, theory of emotion and motivation |
| Dr. Allan Combs http://www.sourceintegralis.org/ http://en.wikipedia.org/wiki/Allan_Combs | Consciousness research, neuroscience |
| Dr. Nil Geissweiller http://sites.google.com/site/ngeiswei/Home | Probabilistic inference, evolutionary learning, virtual worlds |
| Dr. Joel Pitt http://ferrouswheel.info/cv-joelpitt.html http://www.opencog.org/wiki/Joel_Pitt | Probabilistic inference, attractor neural networks, virtual worlds |
GuestLecturers
Inaddition to the primary faculty listed above, there will be several guestlecturers giving individual lectures within the summer school:
| Faculty Member | Relevant Specialty Areas |
| Dr. Gino Yu | AI in Gaming |
| Dr. Matthew IkleÕ http://faculty.adams.edu/~moikle/Site/Research.html | Probabilistic Logic |
| HyunRyong Jung (Samsung Electronics) | Humanoid robotics, robot simulation environments |
| Lian Ruiting (PhD student, Xiamen University) | Computational linguistics |
Courses
Thecurriculum will consist of a set of lectures pursuing a handful of commonthemes. The lecture list issubject to revisions, but the current version may be found at
Internationalparticipants will be selected by a Selection Committee on the basis of theirsubmitted documents:
For non-Chinese students, the costof the Summer School will be as follows,
- Tuition of $1000
- $1000 for room and board
For the OpenCog lab (the weekfollowing the main summer school), additional tuition of $500 and room/board of$500 will be charged.
At the moment funds for scholarshipsare not available.
Chinese students should contact
The schedule for eachweek will be similar, but with different lectures and themes each week.
Saturday 6/27, anoptional trip to see sights in Xiamen will be organized, which will provide anopportunity for group discussions in a less formal surroundings.
Week 1
| | 6/22 | 6/23 | 6/24 | 6/25 | 6/26 |
| | Mon | Tues | Wed | Thurs | Fri |
| 8:30-10:00 | AGI versus Narrow AI (Goertzel) | The Mathematics of Universal and General Intelligence (Goertzel) ___ OpenCogPrime Design for AGI (Goertzel) | OpenCog Software Framework (Pitt / Goertzel) | Introduction to Probabilistic Logic Networks (Geisweiller/ Goertzel) | OpenCog / PLN Software Framework (Pitt) |
| 10:10-11:40 | Approaches to Defining and Evaluating General Intelligence (Wang) | A Logical Model of Intelligence (Wang) | A Logical Model of Intelligence (Wang) | A Logical Model of Intelligence (Wang) | Probabilistic Logical Networks: Spatiotemporal and Intensional Inference (Geisweiller) |
| 11:40-14:30 | Lunch | Lunch | Lunch | Lunch | Lunch |
| 14:30-16:00 | The Brain as a Neuroscientist Sees It (Combs) | The Brain as a Neuroscientist Sees It (Combs) | The Nature of Conscious-ness (Combs) | Nonlinear Dynamics and the Mind (Combs) | Evolvable Neural Networks (de Garis) |
| 16:15-17:15 | Group discussion | Group discussion | Group discussion | Group discussion | Free time |
| 18:00-19:00 | Dinner | Dinner | Dinner | Dinner | Dinner |
Week 2
| | 6/29 | 6/30 | 7/1 | 7/2 | 7/3 |
| | Mon | Tues | Wed | Thurs | Fri |
| 8:30-10:00 | Managing Uncertainty with Indefinite Probabilities (IkleÕ) | Automated Program Learning: the MOSES Algorithm (Geisweiller) | Humanoid Robotics for AGI: the Nao Platform (de Garis) | Imitation and Reinforcement Learning in Virtually Embodied Agents Using Program Evolution (Geisweiller) ---- RIDE: A Simulator for Robotic Intelligence Development (Jung) | Natural Language Processing for AGI: the RelEx Framework (Goertzel) |
| 10:10-11:40 | Program Representation for General Intelligence: The Reduct Toolkit for Program Normalization (Goertzel / Geisweiller) | Controlling Intelligent Agents in a Virtual World: the OpenPetBrain System (Geisweiller) | Attractor Neural Nets and Economic Attention Allocation (Pitt) | Artificial General Intelligence and Gaming (Gino Yu) ---- Extending and Customizing Virtual Worlds for AGI (Goertzel) | Natural Language Generation: the NLGen Framework (Goertzel / Lian Ruiting) |
| 11:40-14:30 | Lunch | Lunch | Lunch | Lunch | Lunch |
| 14:30-16:00 | Man as Machine (Bach) | Understanding Motivation, Emotion and Mental Representation (Bach) | Understanding Motivation, Emotion and Mental Representation (Bach) | The MicroPsi Architecture (Bach) | Concluding Lecture / discussion |
| 16:15-17:15 | Group discussion | Group discussion | Group discussion | Group discussion | Free time |
| 18:00-19:00 | Dinner | Dinner | Dinner | Dinner | Dinner |