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Weekly QUEST Discussion Topics and News, Mar 1st

February 28, 2013 Leave a comment

This week’s meeting will consist of the open part of Mark Derriso’s dissertation defense. Please see below for an abstract of his work.

Abstract:

This research addressed a critical limitation in the area of computational
intelligence by developing a general purpose architecture for information
processing and decision making. Traditional computational intelligence
methods are best suited for well-defined problems with extensive, long-term knowledge of the environmental and operational conditions the system will encounter during operation. These traditional approaches typically generate quick answers (i.e., reflexive responses) using pattern recognition methods. Most pattern recognition techniques are static processes which consist of a predefined series of computations. For these pattern recognition approaches to be effective, training data is required from all anticipated environments and operating conditions.

The proposed framework, Conscious Architecture for State Exploitation
(CASE), is a general purpose architecture designed to mimic key
characteristics of human information processing. CASE combines low and high level cognitive processes into a common framework to enable goal-based decision making. The CASE approach is to generate artificial phenomenal states (i.e., generate qualia = consciousness) into a shared computational process to enhance goal-based decision making and adaptation. That is, this approach allows for the appropriate decision and corresponding adaptive behavior as the goals and environmental factors change.

CASE was demonstrated in a selected application to determine the engineering advantages. It was used in an airframe application to autonomously monitor the integrity of a flight critical structural component and automatically generated a timely maintenance recommendation when unacceptable cracking was
detected.

QUEST Discussion Topics and News Mar 1st

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Weekly QUEST Discussion Topics and News, Feb 22nd

February 21, 2013 Leave a comment

The goal of the meeting is to discuss a set of fundamental laws / tenets that define characteristics of qualia (phenomenal aspects of the representation) that QUEST suggest are required to achieve machine consciousness. Our working list includes but is not limited to:
Intelligence in nature is a result of the ability to create a stable, consistent and useful world model (note we are not saying an accurate from a physics perspective representation). Insight into part of your internal representation of the world is provided by introspection of your perceptions, your qualia. The vocabulary of introspection is qualia. Introspection can be a dangerous approach to gathering insight in that as in all perception it can be misleading. In addition to that it only can provide access to those aspects of the internal representation that are introspectively available – we contend there are aspects of the internal representation that are not available to introspection. Those aspects of your internal representation not available to introspection we call Sys1 or the Libet system. Qualia is the term we use to capture what you experience (the parts of your internal representation you can introspect over) versus what your sensors measure. It is the red you ‘see’ or the pain you ‘feel’. To ‘see’ or to ‘feel’ are experiences and thus by our definition qualia. By capturing the functional characteristics of the experiences we get a set of guiding principles (fundamental laws/tenets) for engineering systems that can generate robust introspectively available world models. The key to intelligence is to be able to integrate that qualia based representation (Sys2 = all the qualia and all the processes used to generate them) with an autistically generated world model (Sys1, Libet system, intuition).* contained in designing conscious systems walk-aways *

See the attached file for a comprehensive list of our tenets
QUEST Discussion Topics and News February 22nd

Weekly QUEST Discussion Topics and News, Feb 8th

February 7, 2013 Leave a comment

The goal of the meeting is to discuss a set of fundamental laws / tenets that define characteristics of qualia (phenomenal aspects of the representation) that QUEST suggest are required to achieve machine consciousness. Our working list includes but is not limited to:
Intelligence in nature is a result of the ability to create a stable, consistent and useful world model (note we are not saying an accurate from a physics perspective representation). Insight into part of your internal representation of the world is provided by introspection of your perceptions, your qualia. The vocabulary of introspection is qualia. Introspection can be a dangerous approach to gathering insight in that as in all perception it can be misleading. In addition to that it only can provide access to those aspects of the internal representation that are introspectively available – we contend there are aspects of the internal representation that are not available to introspection. Those aspects of your internal representation not available to introspection we call Sys1 or the Libet system. Qualia is the term we use to capture what you experience (the parts of your internal representation you can introspect over) versus what your sensors measure. It is the red you ‘see’ or the pain you ‘feel’. To ‘see’ or to ‘feel’ are experiences and thus by our definition qualia. By capturing the functional characteristics of the experiences we get a set of guiding principles (fundamental laws/tenets) for engineering systems that can generate robust introspectively available world models. The key to intelligence is to be able to integrate that qualia based representation (Sys2 = all the qualia and all the processes used to generate them) with an autistically generated world model (Sys1, Libet system, intuition).* contained in designing conscious systems walk-aways *

See the attached file for a comprehensive list of our tenets
QUEST Discussion Topics and News February 8th