The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Peter Stone - One of the best experts on this subject based on the ideXlab platform.
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cobot in lambdamoo an adaptive Social Statistics agent
Autonomous Agents and Multi-Agent Systems, 2006Co-Authors: Charles L. Isbell, Michael Kearns, Christian R Shelton, Peter Stone, Satinder Singh, Dave KormannAbstract:We describe our development of Cobot, a novel software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. Cobot's goal was to become an actual part of that community. Here, we present a detailed discussion of the functionality that made him one of the objects most frequently interacted with in LambdaMOO, human or artificial. Cobot's fundamental power is that he has the ability to collect Social Statistics summarizing the quantity and quality of interpersonal interactions. Initially, Cobot acted as little more than a reporter of this information; however, as he collected more and more data, he was able to use these Statistics as models that allowed him to modify his own behavior. In particular, cobot is able to use this data to "self-program," learning the proper way to respond to the actions of individual users, by observing how others interact with one another. Further, Cobot uses reinforcement learning to proactively take action in this complex Social environment, and adapts his behavior based on multiple sources of human reward. Cobot represents a unique experiment in building adaptive agents who must live in and navigate Social spaces.
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Cobot in LambdaMOO: An adaptive Social Statistics agent
Autonomous Agents and Multi-Agent Systems, 2006Co-Authors: Charles L. Isbell, Michael Kearns, Christian R Shelton, Peter Stone, Satinder Singh, Dave KormannAbstract:We describe our development of Cobot, a software agent who\n\nlives in LambdaMOO, a popular virtual world frequented by\n\nhundreds of users. We present a detailed discussion of the\n\nfunctionality that has made him one of the objects most frequently\n\ninteracted with in LambdaMOO, human or artificial.\n\nIntroduction\n\nThe internet is a medium where large groups of people build Social\ncommunities. This presents both a challenge and an opportunity for\nartificial intelligence and software agent...
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cobot in lambdamoo a Social Statistics agent
National Conference on Artificial Intelligence, 2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. We present a detailed discussion of the functionality that has made him one of the objects most frequently interacted with in LambdaMOO, human or artificial.
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AAAI/IAAI - Cobot in LambdaMOO: A Social Statistics Agent
2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. We present a detailed discussion of the functionality that has made him one of the objects most frequently interacted with in LambdaMOO, human or artificial.
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Cobot in LambdaMOO: A Social Statistics agent
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who\n\nlives in LambdaMOO, a popular virtual world frequented by\n\nhundreds of users. We present a detailed discussion of the\n\nfunctionality that has made him one of the objects most frequently\n\ninteracted with in LambdaMOO, human or artificial.\n\nIntroduction\n\nThe internet is a medium where large groups of people build Social\ncommunities. This presents both a challenge and an opportunity for\nartificial intelligence and software agent...
L Van Toor - One of the best experts on this subject based on the ideXlab platform.
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the system of Social statistical datasets of Statistics netherlands an integral approach to the production of register based Social Statistics
Statistical journal of the IAOS, 2014Co-Authors: B F M Bakker, J Van Rooijen, L Van ToorAbstract:More and more countries are using register data to replace traditional Censuses. Moreover, official Statistics as well as research are increasingly based on register data or combinations of survey and register data. Register-based Statistics offer wonderful new opportunities. At the same time, they require a new approach to how data are processed and managed. In this article, we present the System of Social statistical datasets (SSD), a system of interlinked and standardized registers and surveys. All production processes within Statistics Netherlands that pertain to Social or spatial Statistics converge in the SSD, which thus constitutes a shared output-oriented system. The SSD contains a wealth of information on persons, households, jobs, benefits, pensions, education, hospitalizations, crime reports, dwellings, vehicles and more. In the Netherlands it is the most important source for official Social Statistics and, because the data are available on request by means of remote access, also very popular in the Social sciences. This article describes the contents of the SSD as well as the underlying process and organization, and demonstrates its possibilities.
William E. Wagner - One of the best experts on this subject based on the ideXlab platform.
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using ibm spss Statistics for research methods and Social science Statistics
2012Co-Authors: William E. WagnerAbstract:Now in its Fifth Edition, William Wagners Using SPSS for Social Statistics and Research Methods has come to be trusted as a reliable and student-friendly resource for those learning to use the SPSS software for the first time. Ideal as a companion to a Statistics or research methods text or as a stand-alone guide, this supplementary text shows readers how to use images and directions drawn from SPSS Version 22.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set. It is designed as an ideal manual for SPSS use for Social Statistics and research methods classes.
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BUNDLE: Frankfort-Nachmias Social Statistics for a Diverse Society 6e + Wagner Using IBM SPSS Statistics for Social Statistics and Research Methods 3e + Francis STATLAB Online
2011Co-Authors: Chava Frankfort-nachmias, William E. Wagner, Gregory S. FrancisAbstract:We offer these texts bundled together at a discount for your students.Social Statistics for a Diverse Society, Sixth EditionThe new edition of this bestselling text continues to emphasize intuition and common sense, while demonstrating the link between the practice of Statistics and important Social issues. Recognizing that todays students live in a world characterized by a growing diversity and richness of Social differences, the authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other Social variables. In addition, guides for reading and interpreting the research literature help students understand key concepts, while SPSS demonstrations and a rich variety of exercises help them hone their problem-solving skills.Using SPSS for Social Statistics and Research Methods, Third EditionIdeal as a companion to a Statistics or research methods text or as a stand-alone guide, Using SPSS for Social Statistics and Research Methods, Third Edition, uses images and directions drawn directly from SPSS/PASW Version 18.0 (for both PC and Mac computers) to teach undergraduate students how to use the software to manage data or to conduct statistical data analysis. This fully updated pocket-size guide addresses a wide variety of data analysis topics, making it useful for the classroom or for independent study, and offers a number of useful insider tips and hints for students. The Third Edition also offers the use of a dataset from the latest version of the General Social Survey (GSS).
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Using SPSS for Social Statistics and Research Methods
2006Co-Authors: William E. WagnerAbstract:Preface Acknowledgments Chapter 1. Overview Statistical Software About the General Social Survey Data SPSS Electronic Files Opening Existing Data Files Importing Data From Non-SPSS File Formats Opening Previously Created Output Files Saving Files Creating New SPSS Data Files Creating and Editing SPSS Output Files Preferences: Getting Started Measurement of Variables Using SPSS Chapter 2. Transforming Variables Recoding and Computing Variables Recoding Variables Recoding Variables: Dichotomies and Dummy Variables Computing Variables Using the Count Function Computing an Index Using the Mean Multiple Response Chapter 3. Selecting and Sampling Cases Targeted Selection Random Selection Selecting Cases for Inclusion in a New Data Set Chapter 4. Organization and Presentation of Information Measures of Central Tendency and Variability Frequency Distributions Chapter 5. Charts and Graphs Boxplot Legacy Options for Graphs (Boxplot Example) Scatterplot Legacy Scatterplot Histogram Bar Graph Pie Chart Additional Graphic Capabilities in SPSS Statistics Chapter 6. Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables Bivariate Analysis Adding Another Variable or Dimension to the Analysis Measures of Association for Nominal and Ordinal Variables Lambda Gamma and Sommers' d Chapter 7. Correlation and Regression Analysis Bivariate Regression Correlation Multiple Regression Chapter 8. Testing Hypotheses Using Means and Cross-Tabulation Comparing Means Comparing Means: Paired-Samples T Test Comparing Means: Independent-Samples T Test Chi-Square Chapter 9. Analysis of Variance One-Way ANOVA ANOVA With Regression Chapter 10. Editing Output Editing Basic Tables Copying to Microsoft Word Exporting Output Editing Charts and Graphs Chapter 11. Advanced Applications Merging Data From Multiple Files Opening Previously Created Syntax Files Creating New SPSS Syntax Files About the Author
Charles L. Isbell - One of the best experts on this subject based on the ideXlab platform.
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cobot in lambdamoo an adaptive Social Statistics agent
Autonomous Agents and Multi-Agent Systems, 2006Co-Authors: Charles L. Isbell, Michael Kearns, Christian R Shelton, Peter Stone, Satinder Singh, Dave KormannAbstract:We describe our development of Cobot, a novel software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. Cobot's goal was to become an actual part of that community. Here, we present a detailed discussion of the functionality that made him one of the objects most frequently interacted with in LambdaMOO, human or artificial. Cobot's fundamental power is that he has the ability to collect Social Statistics summarizing the quantity and quality of interpersonal interactions. Initially, Cobot acted as little more than a reporter of this information; however, as he collected more and more data, he was able to use these Statistics as models that allowed him to modify his own behavior. In particular, cobot is able to use this data to "self-program," learning the proper way to respond to the actions of individual users, by observing how others interact with one another. Further, Cobot uses reinforcement learning to proactively take action in this complex Social environment, and adapts his behavior based on multiple sources of human reward. Cobot represents a unique experiment in building adaptive agents who must live in and navigate Social spaces.
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Cobot in LambdaMOO: An adaptive Social Statistics agent
Autonomous Agents and Multi-Agent Systems, 2006Co-Authors: Charles L. Isbell, Michael Kearns, Christian R Shelton, Peter Stone, Satinder Singh, Dave KormannAbstract:We describe our development of Cobot, a software agent who\n\nlives in LambdaMOO, a popular virtual world frequented by\n\nhundreds of users. We present a detailed discussion of the\n\nfunctionality that has made him one of the objects most frequently\n\ninteracted with in LambdaMOO, human or artificial.\n\nIntroduction\n\nThe internet is a medium where large groups of people build Social\ncommunities. This presents both a challenge and an opportunity for\nartificial intelligence and software agent...
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cobot in lambdamoo a Social Statistics agent
National Conference on Artificial Intelligence, 2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. We present a detailed discussion of the functionality that has made him one of the objects most frequently interacted with in LambdaMOO, human or artificial.
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AAAI/IAAI - Cobot in LambdaMOO: A Social Statistics Agent
2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. We present a detailed discussion of the functionality that has made him one of the objects most frequently interacted with in LambdaMOO, human or artificial.
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Cobot in LambdaMOO: A Social Statistics agent
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who\n\nlives in LambdaMOO, a popular virtual world frequented by\n\nhundreds of users. We present a detailed discussion of the\n\nfunctionality that has made him one of the objects most frequently\n\ninteracted with in LambdaMOO, human or artificial.\n\nIntroduction\n\nThe internet is a medium where large groups of people build Social\ncommunities. This presents both a challenge and an opportunity for\nartificial intelligence and software agent...
Dave Kormann - One of the best experts on this subject based on the ideXlab platform.
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cobot in lambdamoo an adaptive Social Statistics agent
Autonomous Agents and Multi-Agent Systems, 2006Co-Authors: Charles L. Isbell, Michael Kearns, Christian R Shelton, Peter Stone, Satinder Singh, Dave KormannAbstract:We describe our development of Cobot, a novel software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. Cobot's goal was to become an actual part of that community. Here, we present a detailed discussion of the functionality that made him one of the objects most frequently interacted with in LambdaMOO, human or artificial. Cobot's fundamental power is that he has the ability to collect Social Statistics summarizing the quantity and quality of interpersonal interactions. Initially, Cobot acted as little more than a reporter of this information; however, as he collected more and more data, he was able to use these Statistics as models that allowed him to modify his own behavior. In particular, cobot is able to use this data to "self-program," learning the proper way to respond to the actions of individual users, by observing how others interact with one another. Further, Cobot uses reinforcement learning to proactively take action in this complex Social environment, and adapts his behavior based on multiple sources of human reward. Cobot represents a unique experiment in building adaptive agents who must live in and navigate Social spaces.
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Cobot in LambdaMOO: An adaptive Social Statistics agent
Autonomous Agents and Multi-Agent Systems, 2006Co-Authors: Charles L. Isbell, Michael Kearns, Christian R Shelton, Peter Stone, Satinder Singh, Dave KormannAbstract:We describe our development of Cobot, a software agent who\n\nlives in LambdaMOO, a popular virtual world frequented by\n\nhundreds of users. We present a detailed discussion of the\n\nfunctionality that has made him one of the objects most frequently\n\ninteracted with in LambdaMOO, human or artificial.\n\nIntroduction\n\nThe internet is a medium where large groups of people build Social\ncommunities. This presents both a challenge and an opportunity for\nartificial intelligence and software agent...
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cobot in lambdamoo a Social Statistics agent
National Conference on Artificial Intelligence, 2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. We present a detailed discussion of the functionality that has made him one of the objects most frequently interacted with in LambdaMOO, human or artificial.
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AAAI/IAAI - Cobot in LambdaMOO: A Social Statistics Agent
2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who lives in LambdaMOO, a popular virtual world frequented by hundreds of users. We present a detailed discussion of the functionality that has made him one of the objects most frequently interacted with in LambdaMOO, human or artificial.
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Cobot in LambdaMOO: A Social Statistics agent
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2000Co-Authors: Charles L. Isbell, Dave Kormann, Michael Kearns, Satinder Singh, Peter StoneAbstract:We describe our development of Cobot, a software agent who\n\nlives in LambdaMOO, a popular virtual world frequented by\n\nhundreds of users. We present a detailed discussion of the\n\nfunctionality that has made him one of the objects most frequently\n\ninteracted with in LambdaMOO, human or artificial.\n\nIntroduction\n\nThe internet is a medium where large groups of people build Social\ncommunities. This presents both a challenge and an opportunity for\nartificial intelligence and software agent...