HOUSE_OVERSIGHT_013010.jpg
1.65 MB
Extraction Summary
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People
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Organizations
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Locations
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Relationships
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Quotes
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Type:
Scientific/academic text (book chapter or paper)
File Size:
1.65 MB
Summary
This document appears to be a page (p. 94) from a scientific paper or book regarding Artificial Intelligence and Cognitive Architectures. It discusses the 'Rasmussen ladder' of behavior and compares two specific AI architectures: 'Psi/MicroPsi' and 'CogPrime.' The document includes a Bates stamp 'HOUSE_OVERSIGHT_013010', suggesting it was included in a document production for a congressional investigation, likely related to Jeffrey Epstein's funding of scientific research (e.g., AI research).
People (1)
| Name | Role | Context |
|---|---|---|
| Jens Rasmussen | Danish psychologist |
Cited regarding the 'Rasmussen ladder' describing organization of action.
|
Organizations (1)
| Name | Type | Context |
|---|---|---|
| House Oversight Committee |
Implied by the Bates stamp 'HOUSE_OVERSIGHT_013010' at the bottom of the page.
|
Key Quotes (4)
"The Rasmussen ladder describes the organization of action as a movement between the stages of skill-based behavior, rule-based behavior and knowledge-based behavior"Source
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Quote #1
"The planning algorithm used in the Psi and MicroPsi implementations is a fairly simple hill-climbing planner."Source
HOUSE_OVERSIGHT_013010.jpg
Quote #2
"On a high level, the similarities between Psi and CogPrime are quite strong"Source
HOUSE_OVERSIGHT_013010.jpg
Quote #3
"CogPrime uses much more diverse and sophisticated learning algorithms which thus require more sophisticated methods of interoperation in order to achieve cognitive synergy."Source
HOUSE_OVERSIGHT_013010.jpg
Quote #4
Full Extracted Text
Complete text extracted from the document (2,561 characters)
94 4 Brief Survey of Cognitive Architectures
after Danish psychologist Jens Rasmussen). The Rasmussen ladder describes the organization
of action as a movement between the stages of skill-based behavior, rule-based behavior and
knowledge-based behavior, as follows:
of action as a movement between the stages of skill-based behavior, rule-based behavior and
knowledge-based behavior, as follows:
• If a given task amounts to a trained routine, an automatism or skill is activated; it can
usually be executed without conscious attention and deliberative control.
• If there is no automatism available, a course of action might be derived from rules; before a
known set of strategies can be applied, the situation has to be analyzed and the strategies
have to be adapted.
• In those cases where the known strategies are not applicable, a way of combining the
available manipulations (operators) into reaching a given goal has to be explored at first.
This stage usually requires a recomposition of behaviors, that is, a planning process.
usually be executed without conscious attention and deliberative control.
• If there is no automatism available, a course of action might be derived from rules; before a
known set of strategies can be applied, the situation has to be analyzed and the strategies
have to be adapted.
• In those cases where the known strategies are not applicable, a way of combining the
available manipulations (operators) into reaching a given goal has to be explored at first.
This stage usually requires a recomposition of behaviors, that is, a planning process.
The planning algorithm used in the Psi and MicroPsi implementations is a fairly simple
hill-climbing planner. While it’s hypothesized that a more complex planner may be needed for
advanced intelligence, part of the Psi theory is the hypothesis that most real-life planning an
organism needs to do is fairly simple, once the organism has the right perceptual representations
and goals.
hill-climbing planner. While it’s hypothesized that a more complex planner may be needed for
advanced intelligence, part of the Psi theory is the hypothesis that most real-life planning an
organism needs to do is fairly simple, once the organism has the right perceptual representations
and goals.
4.5.13 Psi versus CogPrime
On a high level, the similarities between Psi and CogPrime are quite strong:
• interlinked declarative, procedural and intentional knowledge structures, represented using
neural-symbolic methods (though, the knowledge structures have somewhat different high
level structures and low-level representational mechanisms in the two systems)
• perception via prediction and perception/action integration
• action selection via triplets that resemble uncertain, potentially partial production rules
• similar motivation/emotion framework, since CogPrime incorporates a variant of Psi for
this
neural-symbolic methods (though, the knowledge structures have somewhat different high
level structures and low-level representational mechanisms in the two systems)
• perception via prediction and perception/action integration
• action selection via triplets that resemble uncertain, potentially partial production rules
• similar motivation/emotion framework, since CogPrime incorporates a variant of Psi for
this
On the nitty-gritty level there are many differences between the systems, but on the big
picture level the main difference lies in the way the cognitive synergy principle is pursued in
the two different approaches. Psi and MicroPsi rely on very simple learning algorithms that are
closely tied to the “quad” neurosymbolic knowledge representation, and hence interoperate in
a fairly natural way without need for subtle methods of “synergy engineering.” CogPrime uses
much more diverse and sophisticated learning algorithms which thus require more sophisticated
methods of interoperation in order to achieve cognitive synergy.
picture level the main difference lies in the way the cognitive synergy principle is pursued in
the two different approaches. Psi and MicroPsi rely on very simple learning algorithms that are
closely tied to the “quad” neurosymbolic knowledge representation, and hence interoperate in
a fairly natural way without need for subtle methods of “synergy engineering.” CogPrime uses
much more diverse and sophisticated learning algorithms which thus require more sophisticated
methods of interoperation in order to achieve cognitive synergy.
HOUSE_OVERSIGHT_013010
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