NARS Tutorial
And
Workshop

June 23, 2020, St. Petersburg, Russia

At AGI 2020

With notable progress in recent years, the AGI-oriented NARS (Non-Axiomatic Reasoning System) has been attracting increasing interest from researchers and students from around the world. Built on top of its open-source implementation OpenNARS, several NARS-based and NARS-related projects have been undertaken and are currently under development. To encourage communication and collaboration among the researchers, as well as to introduce these projects to the AGI community, a NARS Workshop will be held during AGI-20 as an integrated part within conference.

Because of the difficult epidemiology situation caused by COVID-19, the workshop will be a one-day virtual event (Jun 23), it will start with a tutorial that introduces the conceptual design and current implementations of NARS, followed by presentations and discussions of the existing projects. The workshop concludes with a panel discussion about future research. The workshop will be open to all AGI-20 attendees. Additional demonstrations and tutorials may be arranged on a case-by-case manner for those wishing to learn more about the project.

IJCAI-18

Key Information:

When:
June 23 (Virtual Online Event)
Where:
AGI-2020, St. Petersburg, Russia

Contact:

peter.isaev@temple.edu

TALKS

Patrick Hammer

Talk: OpenNARS for Applications: Overview and Evaluation

Kristinn R. Thórisson

Talk: Seed-Programmed Autonomous General Learning

Antonio Chella

Talk: Understanding Scenes with NARS

Francesco Lanza

Talk: Learning Plans with NARS

Robert Johansson

Talk: Scientific progress in AGI from the perspective of contemporary behavioral psychology

Abstract: While the field of Artificial General Intelligence (AGI) continues to develop, it seems to be a need for continued progress in terms of developing AGI as a science. In this paper, we discuss scientific progress in AGI from the perspective of behavioral psychology. We provide examples of psychological experiments that seem potentially useful for AGI research. First, we show experiments that demonstrate various cognitive capabilities. Then, in line with contemporary behavioral psychology research, we examine how the terms coherence, complexity and levels of derivation can be used to study the dynamics of complex responding. Finally, we discuss experiments that are uniquely possible for AGI. Future implications for the AGI field are discussed.

Hugo Latapie

Talk: Applied AGI in the Wild

Abstract: While nobody knows when AGI's with superhuman intelligence will emerge, it's clear that OpenNARS, and other AGI projects are advancing rapidly and are now ready to help power real-world systems. In this talk, we will demonstrate and discuss how applied AGI is being successfully used in solutions from smart cities, IoT, to networking. We will also discuss lessons learned and introduce a new metamodel and framework for AGI that has enabled us to leverage OpenNARS and other AGI projects at commercial scale and capabilities.

tentative

Schedule
All times in the schedule are Eastern Daylight Time Zone (EDT)
TimeEvent
9:00-13:00 NARS Workshop 1: NARS Tutorial and Demonstration
Peter Isaev
NARS Tutorial
Peter Isaev
OpenNARS Overview
Patrick Hammer
OpenNARS for Applications: Overview and Evaluation
Peter Isaev & Patrick Hammer
Hands-on and Demonstration
13:00-13:30Lunch break
13:30-16:45 NARS Workshop 2: NARS Related Projects
Kristinn R. Thórisson
Seed-Programmed Autonomous General Learning
Antonio Chella
Understanding Scenes with NARS
Francesco Lanza
Learning Plans with NARS
Hugo Latapie
Applied AGI in the Wild
Robert Johansson
Scientific progress in AGI from the perspective of contemporary behavioral psychology
16:45-17:30 Panel on the Roadmap of NARS and Discussion
Chair: Pei Wang
Panelist: Kristinn R. Thórisson, Antonio Chella, Francesco Lanza, Patrick Hammer, Robert Johansson, Hugo Latapie
Questions from the attendance are welcome

Organizing Committee


Dr. Pei Wang

Temple University, U.S.
 

Hugo Latapie

Cisco, U.S.


Dr. Kristinn R. Thórisson

Reykjavik University & Icelandic Institute for Intelligent Machines, Iceland

Antonio Chella

University of Palermo, Italy

Patrick Hammer

Temple University, U.S.
 

Peter Isaev

Temple University, U.S.