Russian Federation

functional modeling framework

hcfm

human-centric functional modeling

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.

A recently developed Functional Modeling Framework suggests that all models of cognition can be represented by a minimally reducible set of functions, and proposes to define the criteria for a model of cognition to have the potential for the general problem solving ability commonly recognized as true human intelligence. This human-centric functional modeling approach is intended to enable different models of AGI to be more easily compared so research can reliably converge on a single understanding, enabling the possibility of massively collaborative interdisciplinary projects to research and implement models of consciousness or cognition where difficulty in communicating very different ideas, particularly in the case of new models without a significant following, has prevented such massive collaboration from in practice having proved possible before. This paper summarizes a model of cognition developed within this framework.

A Model of Artificial General Intelligence

technical paper

AGI and the Knight-Darwin Law

Towards AGI Agent Safety by Iteratively Improving the Utility Function

Learning to Model Another Agent's Beliefs: A Preliminary Approach

The hierarchical memory based on compartmental spiking neuron model

The meaning of things as a concept of strong AI architecture

New Brain Simulator II Open-Source Software

An Architecture for Real-time Reasoning and Learning

The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents

The Conditions of Artificial General Intelligence

Information Digital Twin—Enabling Agents to Anticipate Changes in their Tasks

A Model of Artificial General Intelligence

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AGI and the Knight-Darwin Law

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