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Author: Jean-Pierre Corriveau Publisher: Psychology Press ISBN: 1317780116 Category : Language Arts & Disciplines Languages : en Pages : 429
Book Description
This book tries to answer the question posed by Minsky at the beginning of The Society of Mind: "to explain the mind, we have to show how minds are built from mindless stuff, from parts that are much smaller and simpler than anything we'd considered smart." The author believes that cognition should not be rooted in innate rules and primitives, but rather grounded in human memory. More specifically, he suggests viewing linguistic comprehension as a time-constrained process -- a race for building an interpretation in short term memory. After reviewing existing psychological and computational approaches to text understanding and concluding that they generally rely on self-validating primitives, the author abandons this objectivist and normative approach to meaning and develops a set of requirements for a grounded cognitive architecture. He then goes on to explain how this architecture must avoid all epistemological commitments, be tractable both with respect to space and time, and, most importantly, account for the diachronic and non-deterministic nature of comprehension. In other words, a text may or may not lead to an interpretation for a specific reader, and may be associated with several interpretations over time by one reader. Throughout the remainder of the book, the author demonstrates that rules for all major facets of comprehension -- syntax, reference resolution, quantification, lexical and structural disambiguation, inference and subject matter -- can be expressed in terms of the simple mechanistic computing elements of a massively parallel network modeling memory. These elements, called knowledge units, work in a limited amount of time and have the ability not only to recognize but also to build the structures that make up an interpretation. Designed as a main text for graduate courses, this volume is essential to the fields of cognitive science, artificial intelligence, memory modeling, text understanding, computational linguistics and natural language understanding. Other areas of application are schema-matching, hermeneutics, local connectionism, and text linguistics. With its extensive bibliography, the book is also valuable as supplemental reading for introductory undergraduate courses in cognitive science and computational linguistics.
Author: Jean-Pierre Corriveau Publisher: Psychology Press ISBN: 1317780116 Category : Language Arts & Disciplines Languages : en Pages : 429
Book Description
This book tries to answer the question posed by Minsky at the beginning of The Society of Mind: "to explain the mind, we have to show how minds are built from mindless stuff, from parts that are much smaller and simpler than anything we'd considered smart." The author believes that cognition should not be rooted in innate rules and primitives, but rather grounded in human memory. More specifically, he suggests viewing linguistic comprehension as a time-constrained process -- a race for building an interpretation in short term memory. After reviewing existing psychological and computational approaches to text understanding and concluding that they generally rely on self-validating primitives, the author abandons this objectivist and normative approach to meaning and develops a set of requirements for a grounded cognitive architecture. He then goes on to explain how this architecture must avoid all epistemological commitments, be tractable both with respect to space and time, and, most importantly, account for the diachronic and non-deterministic nature of comprehension. In other words, a text may or may not lead to an interpretation for a specific reader, and may be associated with several interpretations over time by one reader. Throughout the remainder of the book, the author demonstrates that rules for all major facets of comprehension -- syntax, reference resolution, quantification, lexical and structural disambiguation, inference and subject matter -- can be expressed in terms of the simple mechanistic computing elements of a massively parallel network modeling memory. These elements, called knowledge units, work in a limited amount of time and have the ability not only to recognize but also to build the structures that make up an interpretation. Designed as a main text for graduate courses, this volume is essential to the fields of cognitive science, artificial intelligence, memory modeling, text understanding, computational linguistics and natural language understanding. Other areas of application are schema-matching, hermeneutics, local connectionism, and text linguistics. With its extensive bibliography, the book is also valuable as supplemental reading for introductory undergraduate courses in cognitive science and computational linguistics.
Author: Nandit R. Soparkar Publisher: Springer Science & Business Media ISBN: 1461314178 Category : Computers Languages : en Pages : 155
Book Description
Transaction processing is an established technique for the concurrent and fault tolerant access of persistent data. While this technique has been successful in standard database systems, factors such as time-critical applications, emerg ing technologies, and a re-examination of existing systems suggest that the performance, functionality and applicability of transactions may be substan tially enhanced if temporal considerations are taken into account. That is, transactions should not only execute in a "legal" (i.e., logically correct) man ner, but they should meet certain constraints with regard to their invocation and completion times. Typically, these logical and temporal constraints are application-dependent, and we address some fundamental issues for the man agement of transactions in the presence of such constraints. Our model for transaction-processing is based on extensions to established mod els, and we briefly outline how logical and temporal constraints may be ex pressed in it. For scheduling the transactions, we describe how legal schedules differ from one another in terms of meeting the temporal constraints. Exist ing scheduling mechanisms do not differentiate among legal schedules, and are thereby inadequate with regard to meeting temporal constraints. This provides the basis for seeking scheduling strategies that attempt to meet the temporal constraints while continuing to produce legal schedules.
Author: Tanay Agrawal Publisher: ISBN: 9781484265802 Category : Languages : en Pages : 0
Book Description
Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods. This is a step-by-step guide to hyperparameter optimization, starting with what hyperparameters are and how they affect different aspects of machine learning models. It then goes through some basic (brute force) algorithms of hyperparameter optimization. Further, the author addresses the problem of time and memory constraints, using distributed optimization methods. Next you'll discuss Bayesian optimization for hyperparameter search, which learns from its previous history. The book discusses different frameworks, such as Hyperopt and Optuna, which implements sequential model-based global optimization (SMBO) algorithms. During these discussions, you'll focus on different aspects such as creation of search spaces and distributed optimization of these libraries. Hyperparameter Optimization in Machine Learning creates an understanding of how these algorithms work and how you can use them in real-life data science problems. The final chapter summaries the role of hyperparameter optimization in automated machine learning and ends with a tutorial to create your own AutoML script. Hyperparameter optimization is tedious task, so sit back and let these algorithms do your work. You will: Discover how changes in hyperparameters affect the model's performance. Apply different hyperparameter tuning algorithms to data science problems Work with Bayesian optimization methods to create efficient machine learning and deep learning models Distribute hyperparameter optimization using a cluster of machines Approach automated machine learning using hyperparameter optimization.
Author: Sanguthevar Rajasekaran Publisher: CRC Press ISBN: 1420011294 Category : Computers Languages : en Pages : 1224
Book Description
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Author: Pierre Barrouillet Publisher: Psychology Press ISBN: 1317628411 Category : Psychology Languages : en Pages : 297
Book Description
Working memory is the cognitive system in charge of the temporary maintenance of information in view of its on-going processing. Lying at the centre of cognition, it has become a key concept in psychological science. The book presents a critical review and synthesis of the working memory literature, and also presents an innovative new theory - the Time-Based Resource-Sharing (TBRS) model. Tracing back the evolution of the concept of working memory, from its introduction by Baddeley and Hitch in 1974 and the development of their modal model, Barrouillet and Camos explain how an alternative conception could have been developed from the very beginning, and why it is needed today. This alternative model takes into account the temporal dynamics of mental functioning. The book describes a new architecture for working memory, and provides a description of its functioning, its development, the sources of individual differences, and hints about neural substrates. The authors address central and debated questions about working memory, and also more general issues about cognitive architecture and functioning. Working Memory: Loss and Reconstruction will be essential reading for advanced students and researchers of the psychology of memory.
Author: Sujata Kundu Publisher: OrangeBooks Publication ISBN: Category : Computers Languages : en Pages : 132
Book Description
A database management system (DBMS) is an electronic data-keeping system. Users have the ability to manipulate or modify data in the database through a variety of operations that can be performed on the system. Data administration and retrieval are simplified with the use of DBMS. The benefits of DBMS are it can eliminate data redundancy and inconsistency, increase data integrity, consistency, and security, and facilitate efficient data access and sharing. Efficient data storage for individuals or organizations is achieved through the usage of database management systems. DBMS is required in almost every industry, including online commerce, banking, travel & hotel reservations etc.
Author: Stephen Wolfram Publisher: Wolfram Research, Inc. ISBN: 1579550223 Category : Computer science Languages : en Pages : 1488
Book Description
Wolfram, frequently likened to Newton, Darwin and Einstein, has instigated a major intellectual revolution with his discoveries that have yielded many new insights in physics, mathematics, computer science, biology and many other fields. Mathematica is now the world's leading computing and symbolic programming. This new 5th edition that covers every aspect of Mathematica is both a highly readable tutorial and a definitive reference for over a million Mathematica users worldwide. It is an essential resource for all users of Mathematica from beginners to experts.
Author: William P. Barnett Publisher: Princeton University Press ISBN: 0691173680 Category : Business & Economics Languages : en Pages : 295
Book Description
There's a scene in Lewis Carroll's Through the Looking Glass in which the Red Queen, having just led a chase with Alice in which neither seems to have moved from the spot where they began, explains to the perplexed girl: "It takes all the running you can do, to keep in the same place." Evolutionary biologists have used this scene to illustrate the evolutionary arms race among competing species. William Barnett argues that a similar dynamic is at work when organizations compete, shaping how firms and industries evolve over time. Barnett examines the effects--and unforeseen perils--of competing and winning. He takes a fascinating, in-depth look at two of the most competitive industries--computer manufacturing and commercial banking--and derives some startling conclusions. Organizations that survive competition become stronger competitors--but only in the market contexts in which they succeed. Barnett shows how managers may think their experience will help them thrive in new markets and conditions, when in fact the opposite is likely to be the case. He finds that an organization's competitiveness at any given moment hinges on the organization's historical experience. Through Red Queen competition, weaker competitors fail, or they learn and adapt. This in turn heightens the intensity of competition and further strengthens survivors in an ever-evolving dynamic. Written by a leading organizational theorist, The Red Queen among Organizations challenges the prevailing wisdom about competition, revealing it to be a force that can make--and break--even the most successful organization.
Author: Science Society Cognitive, Con Publisher: Psychology Press ISBN: 9780805814873 Category : Psychology Languages : en Pages : 1080
Book Description
This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 15th annual meeting of the Cognitive Science Society.
Author: Jean-Pierre Corriveau
Author: Jean-Pierre Corriveau
Author: Nandit R. Soparkar
Author: Jean-Pierre Corriveau
Author: Tanay Agrawal
Author: Sanguthevar Rajasekaran
Author: Pierre Barrouillet
Author: Sujata Kundu
Author: Stephen Wolfram
Author: William P. Barnett
Author: Science Society Cognitive, Con