Learning Components of Computational Models from Texts
نویسندگان
چکیده
The mental models of experts can be encoded in computational cognitive models that can support the functioning of intelligent agents. This paper compares human mental models to computational cognitive models, and explores the extent to which the latter can be acquired automatically from published sources via automatic learning by reading. It suggests that although model components can be automatically learned, published sources lack sufficient information for the compilation of fully specified models that can support sophisticated agent capabilities, such as physiological simulation and reasoning. Such models require hypotheses and educated guessing about unattested phenomena, which can be provided only by humans and are best recorded using knowledge engineering strategies. This work merges past work on cognitive modeling, agent simulation, learning by reading, and narrative structure, and draws examples from the domain of clinical medicine. 1998 ACM Subject Classification I.6 Simulation and Modeling
منابع مشابه
Emotion Detection in Persian Text; A Machine Learning Model
This study aimed to develop a computational model for recognition of emotion in Persian text as a supervised machine learning problem. We considered Pluthchik emotion model as supervised learning criteria and Support Vector Machine (SVM) as baseline classifier. We also used NRC lexicon and contextual features as training data and components of the model. One hundred selected texts including pol...
متن کاملLexical Normalization of Spanish Tweets with Rule-Based Components and Language Models
This paper explores three different methods of learning to map variant word form (dialectal or diachronic) to standard ones from a limited parallel corpus of standard and variant texts, given that a computational description of the standard morphology is available.
متن کاملSparse Structured Principal Component Analysis and Model Learning for Classification and Quality Detection of Rice Grains
In scientific and commercial fields associated with modern agriculture, the categorization of different rice types and determination of its quality is very important. Various image processing algorithms are applied in recent years to detect different agricultural products. The problem of rice classification and quality detection in this paper is presented based on model learning concepts includ...
متن کاملTwo Collaborative Feedback Models in EFL Writing Instruction: Do They Make a Difference?
Research in L1 writing has found numerous benefits of employing collaborative learning in the classroom. The research findings on group work provide clear evidence that engaging learners in group activities increases opportunities for students to engage in the negotiation of meaning, which further leads to better acquisition. The present study, implementing two different collaborative feedback ...
متن کاملModel of Organization Learning in Islamic Azad University
This study aims to present a model of learning organization in Islamic Azad University. It is practical in terms of purpose and quantitative in terms of implementation. At the first step of the research, after analyzing the information, using inductive content analysis, 15 components were identified and were categorized into 5 dimensions of learning levels, systematic thinking, shared vis...
متن کامل