Call for Participants

The first Machine Automated IQ Test Challenge (MAIQ) at IJCAI’2020

AI benchmarking becomes an increasingly important task for the rapid development of AI research. Meaningful AI benchmarks, such as ImageNet and RoboCup not only provide a standard testbed for comparing different AI approaches, but also significantly promote and stimulate AI research.

As one of the predominant benchmarks for measuring human intelligence, Intelligence Quotient (IQ) test provides a natural and excellent AI benchmark for testing the current development of AI research. For better solving IQ tests automatedly by machines, one needs to use, combine and advance many areas in AI including knowledge representation and reasoning, machine learning, natural language processing and image understanding.

The IJCAI-2020 Machine Automated IQ Test Challenge (MAIQ’2020) contains three categories including verbal comprehension, diagram reasoning and sequence reasoning, all questions are collected from genuine IQ Test questions for human being. By given a SDK and some dataset, participants are required to develop programs to solve these problems automatically.

You can sign up https://iqtest.pub as a team to participate in the competition by clicking the “IJCAI’20 MAIQ Competition” button on the front page and following the instruction.

Finalists are invited to attend IJCAI’2020 for the on-site competition, on which the final ranking will be made and announced. Also, finalists are strongly encouraged to open their source codes as well as to submit a paper describing how their systems work.

The champion and the runner-up teams are requested either to open their source code or to submit a system paper.

Website URL

The competition webpage has been released at https://iqtest.pub

Fast Track for competition material

Important dates:

Mar/10, 2020 Call for participants

Apr/15, submission site open

Jun/01, submission deadline

Jun/15, finalist announcement

Jul/15, IJCAI’20 onsite final competition

Aug/01, post-proceeding paper submission deadline

The program committee of the 10th IEEE International Conference on Development and Learning (ICDL) invites published journal articles to be presented in the Journal Track of ICDL.

7th-10th September 2020, Valparaiso, Chile
https://cdstc.gitlab.io/icdl-2020/

==== Important Dates ====
Submission deadline: 25th May 2020
Author notification: 8th of June 2020
Conference: 7th-10th September 2020

==== Overview ====
The Journal Track is designed to provide a forum to discuss important results related to cognitive and developmental systems recently published as journal articles, but have not been previously presented as conference papers. Thus, the journal track offers an opportunity to present outstanding results that might otherwise not be submitted to a conference due to their length and complexity.

All accepted journal presentations will be selected for either oral or poster presentation during the conference based on the reviews – at least one author is expected to register to ICDL 2020 and to present the paper in person.

==== Submissions ====
Candidate papers must be original research articles published in a journal relevant to the research area during 2019 or 2020. Papers that are in press may be submitted as long as the final camera-ready version is available online. Extensions of papers that have been previously presented as conference papers may NOT be submitted to this track.

All submissions must be made by email to Francisco Cruz, including (in a single PDF):

– Title of the original journal paper.
– Abstract of the paper.
– A complete reference to the original paper in APA format.
– URL where the paper can be downloaded from the publisher if available, or proof of the final acceptance.
– A copy of the paper with its final camera-ready contents.

Submissions will go through an expedited selection process led by the conference chairs. Selection criteria include the significance of the results and relevance to the ICDL community.

==== Scope and Topics ====
The primary list of topics of interest includes, but not limited to:

– principles and theories of development and learning;
– development of skills in biological systems and robots;
– nature vs nurture, developmental stages;
– models on the contributions of interaction to learning;
– verbal, non-verbal and multi-modal interaction;
– models on active learning;
– architectures for lifelong learning;
– emergence of body and affordance perception;
– analysis and modeling of human motion and state;
– models for prediction, planning and problem solving;
– models of human-human and human-robot interaction;
– emergence of verbal and non-verbal communication;
– epistemological foundations and philosophical issues;
– robot prototyping of human and animal skills;
– ethics and trust in computational intelligence and robotics;
– social learning in humans, animals, and robots.

==== Organizing committee ====
General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar
Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar
Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith
Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur
Publication Chairs: Pablo Barros, and Haian Wu
Tutorials and Workshops Chair: Miguel Solis
Travel and Registration Awards Chair: Francisco Cruz
Local chairs: Mauricio Araya
Webpage Chairs: Cristóbal Nettle, and Patricio Castillo
Graphics: Camila Angel Alfaro

Best regards from the organizing committee,

Francisco Cruz
Research Fellow in Reinforcement Learning
School of Information Technology
Deakin University
Locked Bag 20000, Geelong, VIC 3220
francisco.cruz@deakin.edu.au