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Ant-weight R/C Robot Controller 150 Power Supply Connections
Ant-weight R/C Robot Controller 150 Power Supply Connections

... The status LED blinks green once for each active channel during a 1-1/2 second cycle time. If the LED is on continuously, there is power, but no signal. If the LED is not illuminated, then there is no power or the board is damaged. When a fault is detected (shorted load, open circuit or over tempera ...
Craig_lecture 7
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...  Mobile robots typically move in 2D (but note that swimming and flying is 3D)  Manipulators are various robot arms  They can move from 1 to many D  Think of the dimensions as the robot’s ...
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... • Relates to Stimulus Control • Are differential rates of operant responding observed in the presence or absence of antecedent stimuli • Occurs due to pairings from the past • Ultimately, antecedents acquire the ability to control operant behavior ...
Special Section on Distributed Control and Efficient Optimization
Special Section on Distributed Control and Efficient Optimization

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Brain Regions Involved in USCBP Reaching Models
Brain Regions Involved in USCBP Reaching Models

... change in limitation (performance change) of the corresponding actuator. The action choice module will encode which arm is better in a certain direction. So when the performance of the affected arm decreased, it will say that the best action is using the unaffected arm. (i.e. behavioral compensation ...
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Signal acquisition and analysis for cortical control of neuroprosthetics
Signal acquisition and analysis for cortical control of neuroprosthetics

... of neurons to drive external systems in real time. These advances have captured the public imagination with images of high-tech devices being controlled by one’s thoughts. In this high-profile research environment, it seems appropriate to step back and put this work into perspective. Here, we discus ...
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Soar - Information Sciences Institute

... Artificial Intelligence Architecture – System for building intelligent agents – Learning system ...
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DEB theory

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Genetic Operators: Mutation
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Virtual Program Modules of AI Systems
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Module 24: Operant Conditioning, Summary Notes
Module 24: Operant Conditioning, Summary Notes

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Operant Conditioning.notebook - Ms. K. Anthony Waterford Valley
Operant Conditioning.notebook - Ms. K. Anthony Waterford Valley

... The following concepts are important to our understanding of the effect of  cognitive processes and biological factors on conditioning.  Cognitive Map: this is a mental image of ones surroundings. I.e.. Mice develop  cognitive maps that represent a maze that they just ran through. Latent Learning: t ...
State-Dependent Riccati Equation Control with Predicted Trajectory
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... to be available at the current time instant k. It was reported [13] that the state-dependent Riccati equation method has many advantages over other nonlinear design methods. The main drawback is the lack of a guarantee of global asymptotic stability which in general is a difficult issue for non-line ...
No Slide Title
No Slide Title

... Behavioral learning -- a process that is a function of a person’s acquisition of responses -- stimulus-response Classical conditioning learning is an associative process that occurs with an existing relationship between a response and a stimulus ...
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free

... to select rigorous criteria for effectiveness. The closest one could come to understanding effectiveness would be to define key questions, which, if answered, would make it possible to evaluate effectiveness. Effective action is more a succession of comparisons between actions and feedback from the ...
Chapters 6-7  - Foundations of Human Social
Chapters 6-7 - Foundations of Human Social

... are more difficult to make and take longer when the number of appealing alternatives increases. • Once a decision is definitely made, however, humans are reluctant to change their decision. (Hysteresis in cognitive process!) ...
slides - University of California, Berkeley
slides - University of California, Berkeley

... Probability that a message is eventually received successfully without any need for retransmission is greater than 0.98 ...
COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND
COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND

... measurement noise. The work described in this article is still under development and is part of an interdepartmental project at the University of Aveiro, which will lead to the control of the atmosphere inside the kiln using two loops for temperature and for air/oxygen ratio control. To test the mod ...
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Perceptual control theory

Perceptual control theory (PCT) is a model of behavior based on the principles of negative feedback, but differing in important respects from engineering control theory. Results of PCT experiments have demonstrated that an organism controls neither its own behavior, nor external environmental variables, but rather its own perceptions of those variables. Actions are not controlled, they are varied so as to cancel the effects that unpredictable environmental disturbances would otherwise have on controlled perceptions. According to the standard catch-phrase of the field, ""behavior is the control of perception"". PCT demonstrates circular causation in a negative feedback loop closed through the environment. This fundamentally contradicts the classical notion of linear causation of behavior by stimuli, in which environmental stimuli are thought to cause behavioral responses, mediated (according to Cognitive Psychology) by intervening cognitive processes.Numerous computer simulations of specific behavioral situations demonstrate its efficacy, with extremely high correlations to observational data (0.95 or better), such as are routinely expected in physics and chemistry. While the adoption of PCT in the scientific community has not been widespread, it has been applied not only in experimental psychology and neuroscience, but also in sociology, linguistics, and a number of other fields, and has led to a method of psychotherapy called the Method of Levels.PCT has roots in insights of Claude Bernard and 20th century control systems engineering and cybernetics. It was originated as such, and given its present form and experimental methodology, by William T. Powers.
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