AEGAP 2018: Architectures & Evaluation for Generality, Autonomy & Progress in AI Federated AI Meeting (IJCAI, ECAI, AAMAS, ICML, ...) Stockholm, Sweden, July 13-15, 2018 |
Conference website | http://cadia.ru.is/workshops/aegap2018/ |
Submission link | https://easychair.org/conferences/?conf=aegap2018 |
Submission deadline | May 8, 2018 |
The Joint Workshop on Architectures and Evaluation for Generality, Autonomy and Progress in AI (AEGAP) focuses on our field's original grand dream: the creation of cognitive autonomous agents with general intelligence that matches (or exceeds) that of humans. We want AI that understands its users and their values so it we can form beneficial and satisfying relationships with them.
We welcome regular papers, short papers, demo papers about benchmarks or tools, and position papers, and encourage discussions over a broad list of topics. As AEGAP is the result of a merger between the Third Workshop on Evaluating Generality and Progress in Artificial Intelligence (EGPAI), the Second Workshop on Architectures for Generality & Autonomy (AGA) and the First Workshop on General AI Architecture of Emergence and Autonomy (AAEA), we are interested in submissions on both evaluation and architectures (but not limited to):
Evaluation:
- Analysis, comparisons and proposals of AI/ML benchmarks and competitions. Lessons learnt.
- Theoretical or experimental accounts of the space of tasks, abilities and their dependencies.
- Tasks and methods for evaluating: transfer learning, cognitive growth, development, cumulative learning, structural self-modification and self-programming.
- Conceptualisations and definitions of generality or abstraction in AI / ML systems.
- Unified theories for evaluating intelligence and other cognitive abilities, independently of the kind of subject (humans, animals or machines): universal psychometrics.
- Evaluation of conversational bots, dialogue systems and personal assistants.
- Evaluation of common sense, reasoning, understanding, causal relations.
- Evaluation of multi-agent systems in competitive and cooperative scenarios, evaluation of teams, approaches from game theory.
- Better understanding of the characterisation of task requirements and difficulty (energy, time, trials needed...), beyond algorithmic complexity. Item generation. Item Response Theory (IRT).
- Evaluation of AI systems using generalised cognitive tests for humans. Computer models taking IQ tests. Psychometric AI.
- Assessment of replicability, reproducibility and openness in AI / ML systems.
- Evaluation methods for multiresolutional perception in AI systems and agents. Analysis of progress scenarios, AI progress forecasting, associated risks.
Architectures:
- Analysis of requirements for autonomy and generality
- Design proposals for cognitive architectures targeting generality and/or autonomy
- Complex layered networked systems and architectures
- Synergies between AI approaches
- Integration of top-down and bottom-up approaches (e.g. logic-based and neural-inspired)
- Emergence of (symbolic) logic from neural networks
- New programming languages relevant to generality and autonomy
- New methodologies relevant to generality and autonomy
- New architectural principles relevant to generality and autonomy
- Complex (e.g. layered, hierarchical or recursive) network architectures for generality and autonomy
- New theoretical insights relevant to generality and autonomy
- Motivation (intrinsic, extrinsic) for enabling autonomous behavior selection and learning
- Analysis of the potential and limitations of existing approaches
- Methods to achieve general ((super)human-like) performance
- Methods for epigenetic development
- Baby machines and experience-based, continuous, online learning
- Seed-based programming and self-programming
- Education for systems with general intelligence and high levels of autonomy
- Understanding and comprehension
- Reasoning and common-sense
- Acquisition of causal models
- Cumulative knowledge acquisition
- Curiosity, emotion and motivation for enabling autonomous behavior and knowledge acquisition
- Meta-planning, reflection and self-improvement
- Principles of swarm intelligence for generality and autonomy
Submission Guidelines
Papers should be between 2 and 12 pages (excluding references) and describe the authors' original work in full (no extended abstracts). Papers will be subjected to peer-review and can be accepted for oral presentation and/or poster presentation. For papers that have previously been submitted to IJCAI and rejected, we ask authors to append the reviews and their responses to aid our review process.
Proposals for Demonstrations should be accompanied with a 2-page description for inclusion in the workshop's pre-proceedings. Examples include, but are not limited to: (interactively) demonstrating new tests or benchmarks, or the performance of a robot, (cognitive) architecture or design methodology.
Oral presentations should be given by one of the authors during one of the Contributed Talks Sessions. Posters and demonstrations will be presented during the Demonstrations and Posters Session. Accepted papers will be gathered into a volume of pre-proceedings and published on this website before the workshop. We are looking into the possibility of producing a special issue for an archival journal.
Submission should be made before the deadline on May 8th.
Please refer to our website for detailed information on how to submit a paper:
http://cadia.ru.is/workshops/aegap2018/
Committees
Organizing committee
- Satoshi Kurihara University of Electro-Communications
- Kenji Doya Okinawa Institute for Science and Technology
- Itsuki Noda National Inst. of Advanced Industrial, Science and Technology
- Hiroaki Wagatsuma Kyushu Institute of Technology
- Tadahiro Taniguchi Ritsumeikan University
- Hiroshi Yamakawa University of Tokyo & Dwango AI Lab
- Kristinn R. Thórisson Reykjavik University & Icelandic Inst. for Intelligent Machines
- Pei Wang Temple University
- Claes Strannegård Chalmers University of Technology & University of Gothenburg
- Antonio Chella University of Palermo
- Lola Cañamero University of Hertfordshire
- Jordi Bieger Delft University of Technology & Reykjavik University
- José Hernández-Orallo Technical University of Valencia
- Seán Ó hÉigeartaigh Centre for the Study of Existential Risk, University of Cambridge
- Nader Chmait Victoria University
- Fernando Martínez-Plumed Technical University of Valencia
- Shahar Avin Centre for the Study of Existential Risk, University of Cambrdige
Contact
All questions about submissions should be emailed to aegap2018@gmail.com