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LAWS OF LARGE NUMBERS FOR PRODUCT OF RANDOM
LAWS OF LARGE NUMBERS FOR PRODUCT OF RANDOM

... Example 2. Sources of pollution. Suppose it is known that mn sources of pollution entered a region Cn but the positions of them are unknown. Suppose further that the polluting power of each source is known and that each source damages a circular region around it proportional to its polluting power. ...
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... cybernetics in the “bottom-up” approach to intelligence, in terms of neural mechanisms, instead of using the dominant representational approach. In this work we reflect on these causes of disparity from a cybernetics perspective. We began in section two by distinguishing between the analysis of natur ...
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Levels and loops: the future of artificial intelligence and neuroscience

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Multistage Cross-Sell Model of Employers in the Financial Industry

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Computer Algebra using Maple Part I: Basic concepts

... * Like sets, lists are static data structures. On initialization, the number of elements gets fixed. * Internally, a list is an array of pointers to its entries. * Like sets, lists are essentially read-only data structures. The only possible `write-operation' is to change the value of a single eleme ...
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1.3 Algebraic Expressions.notebook

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First page A USER PROGRAM FOR MULTIPLE LINEAR

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a review of artificial intelligence based building energy prediction

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... For example, create a story context for (1/3) ÷ 4, and use a visual fraction model to show the quotient. Use the relationship between multiplication and division to explain that (1/3) ÷ 4 = 1/12 because (1/12) × 4 = 1/3. b. Interpret division of a whole number by a unit fraction, and compute such qu ...
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... and also relating findings to a context, or communicating thinking using appropriate mathematical statements. Extended abstract thinking involves one or more of:  devising a strategy to investigate or solve a problem  identifying relevant concepts in context  developing a chain of logical reasoni ...
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Algebra I Unit 8 - Cleburne Independent School District

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ALGEBRA I Tips, Tricks and TI-Calculator

... • Putting equations in slope intercept form given: • Real World Data • Example 2: Jackson is ordering tickets for a concert online. There is a processing fee for each order, and the tickets are $52 each. Jackson ordered 5 tickets and the cost was $275. • Determine the processing fee. Write a linear ...
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Book Recommending Using Text Categorization

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Explaining robot actions - Advanced Technology Laboratories

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The Learning Intelligent Distribution Agent (LIDA)

... LIDA facilitates the creation of simulations in restricted domains that test cognitive hypotheses along one of two arcs: 1) the science fork, which compares simulation behavior to data from experimental psychology or neuroscience; or 2) the engineering fork, for cognitive applications such as roboti ...
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... is available [41], and its application is quite limited. RBS are well suited to problems where experts can articulate decisions confidently and where variables interact little. They may be difficult to scale up, as interactions then emerge. Ecological systems, with complex interactions and processes ...
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Mathematical model

A mathematical model is a description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used in the natural sciences (such as physics, biology, earth science, meteorology) and engineering disciplines (such as computer science, artificial intelligence), as well as in the social sciences (such as economics, psychology, sociology, political science). Physicists, engineers, statisticians, operations research analysts, and economists use mathematical models most extensively. A model may help to explain a system and to study the effects of different components, and to make predictions about behaviour.Mathematical models can take many forms, including but not limited to dynamical systems, statistical models, differential equations, or game theoretic models. These and other types of models can overlap, with a given model involving a variety of abstract structures. In general, mathematical models may include logical models. In many cases, the quality of a scientific field depends on how well the mathematical models developed on the theoretical side agree with results of repeatable experiments. Lack of agreement between theoretical mathematical models and experimental measurements often leads to important advances as better theories are developed.
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