Russian Federation

grammar induction

unsupervised learning

transformers

The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ideas, we accelerate our progress toward our common goal.

Underline hosted the two main days of AGI 2020 on Wednesday June 24th and Thursday June 25th. Both days were **live-streamed** and you can read the full program bellow. All presentations are available for a **asynchronous viewing**. All presenters are grouped into panels. You can also hear guest talks by **Ben Goertzel** (SingularityNET), **Valery Tarasov** (Semenov Institute of Chemical Physics), **Tatiana Shavrina** (Sberbank) and **Joscha Bach** (MIT Media Lab). 

AGI-20

The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ideas, we accelerate our progress toward our common goal.

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020

A novel approach to automated learning of syntactic rules governing natural languages is proposed, based on using probabilities assigned to sentences (and potentially longer word sequences) by trans-former neural network language models to guide symbolic learning processes like clustering and rule induction. This method exploits the learned linguistic knowledge in transformers, without any reference to their inner representations; hence, the technique is readily adaptable to the continuous appearance of more powerful language models.

Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities

technical paper

Error-Correction for AI Safety

Psychological Portrait of a Virtual Agent in the Teleport Game Paradigm

Report on “AI and Human Thought and Emotion”

AGI Needs the Humaities

Toward a General Believable Model of Human-Analogous Intelligent Socially Emotional Behavior

Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences

What Kind of Programming Language Best Suits Integrative AGI?

Combinatorial Decision Dags: A Natural Computational Model for General Intelligence

SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners

Omega: An Architecture for AI Unification

Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities

Downloads

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Error-Correction for AI Safety

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