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The Choice Axiom after Twenty Years
The Choice Axiom after Twenty Years

... results about the choice axiom and the choice models that devoIve from it. For example, its relationship to Thurstonian theory is satisfyingly understood; much is known about how choice and ranking probabilities may relate, although little of this knowledge seems empirically useful; and there are ce ...
BSDEs and risk-sensitive control, zero-sum and nonzero
BSDEs and risk-sensitive control, zero-sum and nonzero

... the expression of the saddle point, furthermore we characterize the upper and lower values of this zero-sum game. In the last section we consider the nonzero-sum risk-sensitive game problem which, in few words, can be described as follows: Assume we have only two players c1 and c2 who intervene on a ...
Multiple Choice
Multiple Choice

... B. the brain can perform parallel processing, which is difficult for computers. C. machines operate differently than the brain. D. we know how the brain functions and can simulate that in a computer. ...
Aprilaire 58 Humidistat Installation Manual
Aprilaire 58 Humidistat Installation Manual

... across the leads of the Manual Mode Resistor Case is between 44K and 48K ohms). Reconnect the ODT leads. If the resistance value does not match the temperature value, replace the Outdoor Temperature Sensor. 3. Rotate Humidifier Control knob to the “Test/Reset” position. After 5 seconds, the green “H ...
What are Perceptions?
What are Perceptions?

... Perceptions are learned as part of the enculturation process. They can thus be changed and altered The subjective nature of perceptions provide a challenge for marketers ...
Is there a future for AI without representation?
Is there a future for AI without representation?

... computing machinery – the aim of so-called “strong AI”. The impression that AI has tacitly abandoned its original aims is strengthened by the widespread belief that there are arguments which have shown a fundamental flaw in all present AI, particularly that its symbols do not refer or represent, tha ...
[pdf]
[pdf]

... execution status from within the program are vital for the experience acquisition in RoLL. Because of the RPL task network and the information kept therein, the experience acquisition can take place completely independent from the rest of the program. With the concept of fluents changes in state var ...
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PDF

... modified H-Bridge multilevel inverter in which the number of power devices is reduced. The analysis of fivelevel, seven-level and nine-level MLI are also done. The various control strategies are also introduced which effectively reduce the harmonics. The THD of five-level multilevel inverter is redu ...
The Use of Cross-Correlation Mapping in Identifying Backwards Projecting Connections between Visual Cortical Areas
The Use of Cross-Correlation Mapping in Identifying Backwards Projecting Connections between Visual Cortical Areas

... the inclusion of X2 in the first term [2]. When the variance of the error term E1 decreases in this way, we know that we can use X2 to better predict the statistical structure of X1. Granger causality and CCM are similar in the respect that they measure how well the statistical structure of one vari ...
Execution monitoring in robotics: A survey
Execution monitoring in robotics: A survey

... Most execution monitoring systems reported in the robotics and AI literature falls into this category. As for parity relations, the system’s model parameters must be known a priori. The underlying idea in observer-based approaches is to estimate the system outputs from available inputs and outputs o ...
General setting of the interpolation problem (with respect to the
General setting of the interpolation problem (with respect to the

... Taylor interpolation/control polygon Hermite interpolation/control polygon Fast change of another functional basis to a respective interpolation basis: a general property. Existence and uniqueness of the solution of the interpolation problem nxn – exists unique (Vandermonde-type determinants); mxn, ...
Rule Insertion and Rule Extraction from Evolving Fuzzy
Rule Insertion and Rule Extraction from Evolving Fuzzy

... ber of neurons and zero-value connections. Initial connections may be set through inserting fuzzy rules in a FuNN structure. FuNNs allow for insertion of fuzzy rules as an initialization procedure thus allowing for existing information to be used prior to the evolving process (the rule insertion pro ...
Add Title here - Problem & Solution
Add Title here - Problem & Solution

S8610UUniversalElectronicIgnitionTrainingModule
S8610UUniversalElectronicIgnitionTrainingModule

... - The diagnostic LED and flame signal indicator make troubleshooting simple, solving the problem quickly and satisfying the customer. ...
Searching for Arthur Koestler`s Holons – a systemstheoretical
Searching for Arthur Koestler`s Holons – a systemstheoretical

... concerning the art of modeling complex systems. Using the framework of Koestler and other scientists working in this part of Systems Theory it should be possible to define goals for research, such that the modeling of complex phenomena can be done to a certain degree, or, as there is always a chance ...
a full bladder is sometimes a boon
a full bladder is sometimes a boon

... Wadhwa, Shiv and Nowlis (2008) provide similar evidence. Thus, prior research suggests the existence of a general reward system with a neurological basis. The reward system can be triggered by reward-related cues, which results in an increased preference for reward-providing cues in general, indepen ...
Baseball Prediction Using Ensemble Learning by Arlo Lyle (Under
Baseball Prediction Using Ensemble Learning by Arlo Lyle (Under

... Somewhat less accurate than PECOTA, the ZiPS system uses adapted versions of other prediction systems in its calculations. To predict the future performance of hitters, it uses a modified version of Bill James’ Brock5 system[20]. Brock is a series of prediction systems developed by James for STATS I ...
What is AI?
What is AI?

... Modeling human cognition or mental faculty using computers Study of making computers do things which at the moment people better Making computers do things which require ...
LIFE, PSYCHE, CONSCIOUSNESS
LIFE, PSYCHE, CONSCIOUSNESS

... need of any other thing for its being” Descartes wrote. But it means that all causal chains are closed within a substance. A modus of the other substance can not causally interact with any modus of the first substance. So then the great potentialities of thinking ability has no value for a human be ...
Physical symbol systems - Research Showcase @ CMU
Physical symbol systems - Research Showcase @ CMU

... award and thus we described it as a conceptual advance that had already transpired. A fourth and final instance is the way information processing systems are presented in cognitive psychology. Even in the best informed presentations (eg, Clark & Clark, 1977-, Lindsay & Norman, 1977, Rumelhart, 1977) ...
Neuro-fuzzy systems
Neuro-fuzzy systems

... Introduction of fuzzy concepts into artificial neurons and neural networks ...
biological learning and artificial intelligence
biological learning and artificial intelligence

... personally subscribe to this view in the context of language acquisition, this could certainly be the case in many other situations. Most fixed motor patterns would obviously profit from some degree of adaptation. This, of course, would no longer make them fixed. A system of this kind that has been ...
AMC  - Queen Mary University of London
AMC - Queen Mary University of London

... forming a new conceptual space as well. For example, within a particular conceptual space of musical genres, one can discover novel combinations of features to meet an artistic goal, e.g., combining a traditional folk melody with blues harmonization, or generating idiomatic jazz variations of melodi ...
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PDF

... A label corresponds to a snapshot of variable assignments at a particular point in the search. The current assignments of these variables may or may not correspond to the assignments specified in the label. Definition 3. A label, λ, is valid iff every variable assignment hx = ai ∈ λ is the current ...
Text - ETH E
Text - ETH E

... reinforcement learning problems with delayed reinforcement (Barto, Sutton, & Anderson, 1983; Sutton & Barto, 1998; Tesauro, 1994). Examples for tasks with delayed rewards are board games such as backgammon. In such games the TD reward prediction signal codes for the chance to win and serves as the v ...
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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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