Vancouver Univ. of British Columbia 1989 Document Type: Book All Authors / Contributors: David Poole Find more information about: David Poole OCLC Number: 837642983 Description: 42 Seiten Series Title: Technical report., 89,4 Responsibility: by David Poole
| Title | : | Explanation and prediction : an architecture for default an abductive reasoning |
| Author | : | David Poole |
| Language | : | en |
| Rating | : | 4.90 out of 5 stars |
| Type | : | PDF, ePub, Kindle |
| Uploaded | : | Apr 12, 2021 |
Full Download Explanation and prediction : an architecture for default an abductive reasoning - David Poole | PDF
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The distinction between explanation and prediction has received much attention in recent literature, but the equally important distinction between explanation and description (or between prediction and description) remains blurred.
Choosing prediction over explanation in psychology: lessons learned from machine learning.
Read explanation and prediction: an architecture for default and abductive reasoning, computational intelligence on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
(theoretical maximum) and meaningful explanations of phenomena (identifying what limits the prediction).
Jan 25, 2018 it is a propounded explanation for the happening of a particular phenomenon, whose development is based on specific evidence.
This paper presents an approach to temporal reasoning in which prediction is deduction but explanation is abduction.
This finding highlights the distinction between prediction and explanation in social research, and casts doubt on the adequacy of revealed preference theory.
Hymans and others published consumer durable spending: explanation and prediction find, read and cite all the research you need on researchgate.
Ask students to amend or add to their explanation to take account of the observation. After students have committed their explanations to paper, discuss their ideas.
To compute prediction explanations you need to have feature impact computed for a model, and predictions for an uploaded dataset computed with a selected.
The prediction for a glm is a non-linearity denoted by age, applied on the sum of feature weights, multiplied by their values. So a very simple case of this is the linear regression, where this nonlinearity, age, is actually identity.
Both explanation and prediction are key phenomena of arriving at both personal and shared knowledge. In attempting to understand such concepts, knowledge issues are raised regarding the extent to which one must be able to explain an idea before the ability to predict and therefore suggest knowledge.
In sociological writing the term “prediction” means a stated expectation about a given although explanation and prediction are not irreconcilable or even rival.
This talk will overview the differences and overlap between machine learning and statistics as well as some.
• a prediction is the expected result of a test that is derived, by deduction, from a hypothesis or theory.
Explanation and prediction in evolutionary theory satisfactory explanation of the past is possible even when prediction of the future is impossible.
While a causal hypothesis is a proposed explanation, a prediction is the expected result of a test that is derived, by deduction, from a hypothesis (or theory, a notion i will discuss shortly). The expected result is a logical consequence of assuming that the hypothesis (or theory) being tested is correct.
Feb 3, 2017 third, predictive accuracy and interpretability must be recognized as complements, not substitutes, when evaluating explanations.
That is, the predicted class is the one which has the highest probability.
If we have an intuitive, satisfying explanation of why something happens, which is consistent with all our other accepted theories, but the predictions that follow from that explanation are not borne out by observation, there is probably something wrong with the explanation.
Mar 30, 2020 — a detailed explanation of the lime framework in case you need a solution for delivering local and model-agnostic explanations.
Dataiku dss provides the capability to compute individual explanations of predictions for all visual ml models that are trained using the python backend ( this.
Hypotheses and predictions are different components of the scientific method. The scientific method is a systematic process that helps minimize bias in research.
There is a debate over proper relationship between explanation and prediction. One view regards them basically the same, while other view finds them fundamentally different. But there cannot be a valid prediction without having a proper explanation. Despite several hurdles, prediction remains the basic goal of social sciences.
Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.
This article is a contribution to the development of the epistemological foundations of futures studies. The article starts by presenting the conventional “covering-law” model asserting the symmetry between prediction and explanation, a model that continues to undermine the authority of futures studies as a discipline despite the fact that logical positivism, the epistemological paradigm.
Thus, hume offers a naturalistic explanation of the psychological mechanism by which empirical predictions are made but not any rational justification for this.
May 1, 2018 the prediction explanation represents the most important factors considered by the model in a single prediction given the input values.
For centuries, prediction has been considered an indispensable element of the scientific method. Theories are evaluated on the basis of their ability to make falsifiable predictions about future.
We suggest that an increased focus on prediction, rather than explanation, can ultimately lead us to greater understanding of behavior.
Prediction explanations + datarobot datarobot’s prediction explanations allow you to calculate the impact of a configurable number of features (the “reasons”) for each outcome your model generates. Once calculated, you can preview the top explanations or download the full results.
Scriven (1968) provides just such an understanding in an essay on the concerns of science: observation, description, definition, classification, measurement, experimentation, generalization, explanation, prediction, evaluation, and control of the environment.
Model explanation and prediction exploration using spark ml at 2020 spark + ai summit presented by iman haji, imran qureshi, alvin henrick.
Explanation, prediction, and causality: three sides of the same coin as the predictive performance of forecasting models and explanations alike receives more.
Ing explanation is often circular; and iii) all theories involve boundary condi-tions and assumptions about invariability and stability and can therefore provide only partial and conditional explanation. Nevertheless, it is generally accepted that for the ideal deductive-nomological case, explanation is a necessary prereq-uisite for prediction.
Social structure in the explanation and prediction of social discontinuities: a response to lempert's critique of the multipath forecasting project (mfp).
Mar 16, 2020 theoretical explanation, understanding and prediction in management studies: intersubjective meaning as the basis of a theory of action.
Jan 30, 2013 and the predictive power of the explanations that physics provides does management science fall in the explanation/prediction space?.
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