Architectures for Generality & Autonomy
Call for Papers
How can we make machines that are more self-sufficient and autonomous than possible today? How can we make machines that can achieve complex tasks, even when given only vague, high-level instructions? How can specialized AI technologies fit together to form architectures with increased autonomy and general intelligence?
Recent developments in the field, IJCAI-17's Special Theme on Autonomy, and its co-location with the Tenth Conference on Artificial General Intelligence, have prompted us to organize the First International Workshop on Architectures for Generality & Autonomy (AGA 2017) at the 26th International Joint Conference on Artificial Intelligence. AGA 2017 welcomes a wide range of people who are interested in the "grand AI dream" of creating general or "strong" AI. We aim to bring together researchers from different AI sub-disciplines and communities in order to encourage cross-disciplinary collaboration, including those from the IJCAI, AGI ("artificial general intelligence"), and BICA ("biologically inspired cognitive architectures") Societies, as well as cognitive science, neuroscience, philosophy, and computer science.
While many recent advances (e.g. deep learning techniques and hierarchical reinforcement learning) fulfill the requirement of continued advances and success in AI, their ability to bring forth human-level artificial intelligence remains unclear. The workshop will focus on AI and cognitive architectures with an eye towards artificial general intelligence, autonomy and task-independent computational theories about how (natural and artificial) minds acquires knowledge and skills.
Some scientific and methodological questions and topics this workshop aims to address (but is not limited to) include:
- Is general intelligence necessary to achieve full autonomy in an artificial system?
- How can “narrow AI” techniques be used towards artificial general intelligence?
- What differentiates generally intelligent systems from specialists and “idiot savants”?
- Do autonomy and general intelligence depend on the same underlying principles — is autonomy supervenient on general intelligence — or are these orthogonal dimensions?
- Is the separation between general and specialized intelligence sharp or gradual?
- Do we need radically different approaches than those in use today, to build systems with human-level intelligence?
- How can current state of the art methods in AI address human-level AI?
- Do we need special programming languages to implement reflective (self-referential) / creative / generally intelligent systems?
- Does general intelligence depend on underlying core principles, or does generality simply result from the combination of a large number of specialized functions?
- Can general AI be achieved through hand-crafted architectures or must it emerge through self-organizing (constructivist) principles?
Key Information:
- When:
- August 19
- Where:
- RMIT Building 80, floor 9, room 80.09.10, 445 Swanston Street, Melbourne, Australia
Paper & Demo submission:
- Due date:
May 23- Notification date:
June 17- Camera-ready date:
July 28- Submission system:
- EasyChair
Co-location:
- AGI-17 Conference
- August 15-18
- EGPAI 2017 Workshop
- August 20
