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1.77 MB

Extraction Summary

2
People
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Organizations
1
Locations
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Events
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Relationships
3
Quotes

Document Information

Type: Scientific paper / academic proposal excerpt
File Size: 1.77 MB
Summary

This document appears to be page 310 from a scientific paper or book chapter titled '17 A Preschool-Based Roadmap to Advanced AGI'. It outlines a curriculum for training Artificial General Intelligence (AGI) robots, categorizing competencies into Perception (Vision, Hearing, Touch, Crossmodal, Proprioception), Actuation (Physical skills, Tool use, Navigation), and Memory (Declarative, Behavioral, Episodic). The document bears the stamp 'HOUSE_OVERSIGHT_013226', indicating it was part of a document production to the House Oversight Committee, likely regarding Epstein's funding or connections to scientific research.

People (2)

Name Role Context
Teacher Instructor (Hypothetical)
referenced in example tasks as the entity instructing or manipulating the robot
Robot Subject (Hypothetical)
The AGI agent being tested in the preschool context

Timeline (1 events)

Various hypothetical tasks for AGI testing involving vision, hearing, touch, and memory.
AGI Preschool (Theoretical)

Locations (1)

Location Context
Conceptual environment mentioned in the text for training robots

Relationships (1)

Teacher Instructional/Experimental Robot
The text describes tasks where the teacher guides, moves, or instructs the robot.

Key Quotes (3)

"However, the briefer treatment given here should suffice to give a sense for how the competencies manifest themselves practically in the AGI Preschool context."
Source
HOUSE_OVERSIGHT_013226.jpg
Quote #1
"Example task: When the teacher covers the robot’s eyes and then makes a noise with an object, the robot should be able to guess what the object is"
Source
HOUSE_OVERSIGHT_013226.jpg
Quote #2
"Example task: Use a stick to poke a ball out of a corner, where the robot cannot directly reach"
Source
HOUSE_OVERSIGHT_013226.jpg
Quote #3

Full Extracted Text

Complete text extracted from the document (2,767 characters)

310
17 A Preschool-Based Roadmap to Advanced AGI
However, the briefer treatment given here should suffice to give a sense for how the competencies manifest themselves practically in the AGI Preschool context.
1. Perception
• Vision: image and scene analysis and understanding
– Example task: When the teacher points to an object in the preschool, the robot should be able to identify the object and (if it’s a multi-part object) its major parts. If it can’t perform the identification initially, it can approach the object and manipulate it before making its identification.
• Hearing: identifying the sounds associated with common objects; understanding which sounds come from which sources in a noisy environment
– Example task: When the teacher covers the robot’s eyes and then makes a noise with an object, the robot should be able to guess what the object is
• Touch: identifying common objects and carrying out common actions using touch alone
– Example task: With its eyes and ears covered, the robot should be able to identify some object by manipulating it; and carry out some simple behaviors (say, putting a block on a table) via touch alone
• Crossmodal: Integrating information from various senses
– Example task: Identifying an object in a noisy, dim environment via combining visual and auditory information
• Proprioception: Sensing and understanding what its body is doing
– Example task: The teacher moves the robot’s body into a certain configuration. The robot is asked to restore its body to an ordinary standing position, and then repeat the configuration that the teacher moved it into.
2. Actuation
• Physical skills: manipulating familiar and unfamiliar objects
– Example task: Manipulate blocks based on imitating the teacher: e.g. pile two blocks atop each other, lay three blocks in a row, etc.
• Tool use, including the flexible use of ordinary objects as tools
– Example task: Use a stick to poke a ball out of a corner, where the robot cannot directly reach
• Navigation, including in complex and dynamic environments
– Example task: Find its own way to a named object or person through a crowded room with people walking in it and objects laying on the floor.
3. Memory
• Declarative: noticing, observing and recalling facts about its environment and experience
– Example task: If certain people habitually carry certain objects, the robot should remember this (allowing it to know how to find the objects when the relevant people are present, even much later)
• Behavioral: remembering how to carry out actions
– Example task: If the robot is taught some skill (say, to fetch a ball), it should remember this much later
• Episodic: remembering significant, potentially useful incidents from life history
HOUSE_OVERSIGHT_013226

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