Discovering Problem Solving Strategies: What Humans Do and Machines Don't (Yet). PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Discovering Problem Solving Strategies: What Humans Do and Machines Don't (Yet). PDF full book. Access full book title Discovering Problem Solving Strategies: What Humans Do and Machines Don't (Yet). by Kurt VanLehn. Download full books in PDF and EPUB format.
Author: Kurt VanLehn
Publisher:
ISBN:
Category : Cognitive psychology
Languages : en
Pages : 18
Get Book Here
Book Description
People can discover new problem solving strategies on their own, without help from a teacher, text or other source. Many machine learning programs exist that discover strategies under similar conditions. Do we now have a sufficient set of computational models for understanding human strategy discoveries? This paper presents a detailed analysis of a human problem solving protocol that uncovers 10 cases of strategies being discovered. It is argued that most cases are adequately modeled by existing machine learning techniques, and several are not, which suggests some interesting research problems for machine learning. The paper has five parts. After a brief discussion of the methods of the analysis and the protocol, the protocol analysis is presented in enough detail to allow evaluation of the accuracy of the empirical claims. A subsequent section classifies the cases of strategy discovery found in the data are classified according to standard machine learning concepts. The last section indicates which types of learning exhibited by the subject have not yet been exhibited by machine learning systems. This leads to the view that strategy acquisition by a component human is like scientific theory formation, with the attendant tasks hypothesis generation. Although current machine learning models of strategy acquisition seem pale by comparison, there seems to be nothing stopping us from building machine learning systems with human-level capabilities for strategy discovery. Keywords: Strategy discovery; Skill acquisition; Machine learning; Cognitive science; Impasses-driven learning; Artificial intelligence; Problem-solving; Human factor engineering. (JG).
Author: Kurt VanLehn
Publisher:
ISBN:
Category : Cognitive psychology
Languages : en
Pages : 18
Get Book Here
Book Description
People can discover new problem solving strategies on their own, without help from a teacher, text or other source. Many machine learning programs exist that discover strategies under similar conditions. Do we now have a sufficient set of computational models for understanding human strategy discoveries? This paper presents a detailed analysis of a human problem solving protocol that uncovers 10 cases of strategies being discovered. It is argued that most cases are adequately modeled by existing machine learning techniques, and several are not, which suggests some interesting research problems for machine learning. The paper has five parts. After a brief discussion of the methods of the analysis and the protocol, the protocol analysis is presented in enough detail to allow evaluation of the accuracy of the empirical claims. A subsequent section classifies the cases of strategy discovery found in the data are classified according to standard machine learning concepts. The last section indicates which types of learning exhibited by the subject have not yet been exhibited by machine learning systems. This leads to the view that strategy acquisition by a component human is like scientific theory formation, with the attendant tasks hypothesis generation. Although current machine learning models of strategy acquisition seem pale by comparison, there seems to be nothing stopping us from building machine learning systems with human-level capabilities for strategy discovery. Keywords: Strategy discovery; Skill acquisition; Machine learning; Cognitive science; Impasses-driven learning; Artificial intelligence; Problem-solving; Human factor engineering. (JG).
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 996
Get Book Here
Book Description
Author: Craig A. Knoblock
Publisher: Springer Science & Business Media
ISBN: 1461531527
Category : Computers
Languages : en
Pages : 179
Get Book Here
Book Description
Generating Abstraction Hierarchies presents a completely automated approach to generating abstractions for problem solving. The abstractions are generated using a tractable, domain-independent algorithm whose only inputs are the definition of a problem space and the problem to be solved and whose output is an abstraction hierarchy that is tailored to the particular problem. The algorithm generates abstraction hierarchies that satisfy the `ordered monotonicity' property, which guarantees that the structure of an abstract solution is not changed in the process of refining it. An abstraction hierarchy with this property allows a problem to be decomposed such that the solution in an abstract space can be held invariant while the remaining parts of a problem are solved. The algorithm for generating abstractions is implemented in a system called ALPINE, which generates abstractions for a hierarchical version of the PRODIGY problem solver. Generating Abstraction Hierarchies formally defines this hierarchical problem solving method, shows that under certain assumptions this method can reduce the size of a search space from exponential to linear in the solution size, and describes the implementation of this method in PRODIGY. The abstractions generated by ALPINE are tested in multiple domains on large problem sets and are shown to produce shorter solutions with significantly less search than problem solving without using abstraction. Generating Abstraction Hierarchies will be of interest to researchers in machine learning, planning and problem reformation.
Author: Alberto Maria Segre
Publisher: Morgan Kaufmann
ISBN: 1483297403
Category : Computers
Languages : en
Pages : 521
Get Book Here
Book Description
Machine Learning Proceedings 1989
Author:
Publisher:
ISBN:
Category : Government reports announcements & index
Languages : en
Pages : 1316
Get Book Here
Book Description
Author: Yves Kodratoff
Publisher: Morgan Kaufmann
ISBN: 9781558601192
Category : Computers
Languages : en
Pages : 840
Get Book Here
Book Description
One of the largest and most active areas of AI, machine learning is of interest to students of psychology, philosophy of science, and education. Although self-contained, volume III follows the tradition of volume I (1983) and volume II (1986). Annotation copyrighted by Book News, Inc., Portland, OR
Author: Frances Mahan
Publisher: iUniverse
ISBN: 1532088353
Category : Technology & Engineering
Languages : en
Pages : 278
Get Book Here
Book Description
With this book, I want to spark the curiosity of you, the reader to imagine a future world unlike you have never seen before in movies or any other books you have read. Think of a future where everything you think and create with your imagination could become possible. This book is about using the gift of imagination as you go deep into the conscious levels of the mind to bring forth multiple ideas that will become a reality one day. As we, this new generation of Artificial Intelligence enthusiast use the mind to create the ultimate thinking machine and connect it to a brain, we see how this interaction with innovation creates unexpected results. Frances Mahan have a deep insatiable curiosity to understand, to learn and know how neuroscience and the powerful mysteries of the brain and its neurons influences how we think and communicate. She is eager to understand at a deep conscious level of her mind how the universe with the power of the conscious mind work together. Her interest to know more about the universe began when she went deep into a meditation and discover her ability to see beyond the now; She learned how it is possible for ideas to flow easily into the mind if we concentrate deeply at a conscious level in meditation. She was able to see images of the universe in a meditation with her eyes closed. A mystery she still pondering upon even today. The rest is in this book.
Author: Hendrik Blockeel
Publisher: Springer
ISBN: 3642409881
Category : Computers
Languages : en
Pages : 739
Get Book Here
Book Description
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.
Author:
Publisher:
ISBN:
Category : Leadership
Languages : en
Pages : 60
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Industrial engineering
Languages : en
Pages : 206
Get Book Here
Book Description
