6 edition of Computational Models of Mixed-Initiative Interaction found in the catalog.
December 31, 1899
Written in English
|Contributions||Susan Haller (Editor), Susan McRoy (Editor), Alfred Kobsa (Editor)|
|The Physical Object|
|Number of Pages||404|
10 The experience-driven perspective dict some aspect of the player’s experience (e.g. challenge, frustration, engagement, spatial involvement) based on some aspect of game content. This model can then be used as a base for an evaluation function in search-based or mixed-initiative by: 2. computational models for mixed initiative systems. We begin with a description of the principles and conclude with a brief discussion of a research project that is attempting to use them in modeling intelligent agents. Design Principles We present five interrelated design principles for the design of robust mixed initiative systems. Robustness is.
This book is the third of three volumes that illustrate the concept of social networks from a Computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives. Naren Ramakrishnan, Robert G. Capra, III, Manuel A. Pérez-Quiñones, Mixed-initiative interaction = mixed computation, ACM SIGPLAN Notices, v n.3, p, March Christopher S.G. Khoo, Teck Ee Loh, Using statistical and contextual information to identify two-and three-character words in Chinese text, Journal of the American Cited by:
Degrees of Mixed-Initiative Interaction in an Intelligent Tutoring System AAAI Spring Symposium: Computational Models for Mixed Initiative Interaction. Available as and also Glass, Michael Some Phenomena Handled by the CIRCSIM-Tutor Version 3 . The Computer for the 21st Century, Mark Weiser, Scientific American, September , pp. This is one of the most influential, highly-cited papers in all of human-computer interaction. Weiser's vision of ubiquitous computing articulated a vision in which computing recedes into the background rather than stands as a focal point of our attention.
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Computational Models of Mixed-Initiative Interaction brings together research that spans several disciplines related to artificial intelligence, including natural language processing, information retrieval, machine learning, planning, and computer-aided instruction, to account for the role that mixed initiative plays in the design of intelligent systems.
ISBN: OCLC Number: Notes: "Reprinted from "User modeling and user-adapted interaction" volume 8, nos. ,; volume 9 nos. Computational Models Of Mixed-initiative Interaction, Haller, Mcroy, Kobsa- $ Computational Models. Computational Models Of Mixed-initiative Interaction English Paperback Book Fr.
$ Computational Models. Computational Models Of Mixed-initiative Interaction By. Computational Models for Mixed Initiative Interaction.
Papers from the AAAI Spring Symposium. Report SS Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
Mixed-Initiative Interaction between Pedagogical Agents and Students in Virtual Environments / In S. Haller and S. McRoy, editors, Procedings of the AAAI Spring Symposium on Computational Models for Mixed Initiative Interaction, pages AAAI/MIT Press, Working Notes of AAAI97 Spring Symposium on Mixed-Initiative Interaction, –; Stanford, CA.
Oxford Dictionary of Current English, New York: Oxford University Press, Oxford Dictionary of Current English, New York: Oxford University Press, Cited by: Computational Models Of Mixed-initiative InteractionHardcover Computational Models - $Interaction Mixed-initiative Hardcover Models Of Computational Mixed-initiative Models InteractionComputational Hardcover Of Computational Models Of.
EECS - Computational Modeling in Human-Computer Interaction - Fall (3 credits) Instructor: Nikola Banovic (Assistant Professor, Electrical Engineering & Computer Science), [email protected] Mixed-initiative interaction refers to a flexible interaction strategy in which each agent (human or computer) contributes what it is best suited at the most appropriate time.
I became interested in this area when I read about AIDE, a system that helps a user explore a dataset using a statistics software package.2 AIDE both makes suggestions to Cited by: Mixed-Initiative Interaction between Pedagogical Agents and Students in Virtual Environments Computational Models for Mixed Initiative This paper concerns mixed-initiative interaction.
involved in developing general computational mechanisms for mental models and their applications in the context human-robot interactions in mixed initiative tasks. 1 Introduction The rapid advances in robot technology over the last two decades has enabled a shift in robot applications from very con ned and constrained industrial settingsFile Size: KB.
The paper starts by connecting mixed-initiative co-creation with some of the most prevalent theories of compu-tational creativity, identifying which aspects of the creative process can be inﬂuenced by human interaction. Following this, several examples of mixed-initiative interaction tools (for different purposes and with different degrees of.
Computational Models of Mixed-Initiative Interaction brings together research that spans several disciplines related to artificial intelligence, including natural language processing, information retrieval, machine learning, planning, and computer-aided instruction, to account for the role that mixed initiative plays in the design of.
The latter defines mixed-initiative (computational creativity) systems (!) implicitly, and it would be interesting to see why / how your definition improves on that: "This paper identifies mixed-initiative co-creation (MI-CC) as the task of creating artifacts via the interaction of a human initiative and a computational initiative.
A variety of “dialogue models” has sprung into existence over the last decade in response to the need for organizing the process of human-computer dialogue development. Structural models describe the generic process of human-computer interaction, and can be used.
Computational Models of Mixed-Initiative Interaction. Springer Netherlands. Robin Cohen MB 7. Advances in Artificial Intelligence: 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AIQuébec City, Québec, Canada, JuneA search query can be a title of the book, a name.
Computational Models of Mixed-Initiative Interaction. Find all books from > At you can find used, antique and new books, compare results and immediately purchase your selection at the best price. ; ; Computing > Computer science > Human-computer interaction; GBP Brand: World Scientific Publishing Company.
Guinn, C. () An Analysis of Initiative Selection in Collaborative Task-Oriented Discourse, User Modeling and User-adapted Interaction, Vol 8() Also published in Computational Models of Mixed-Initiative Interaction, editors, S.
Haller, S. McRoy. M.G. Core and L.K. Schubert, "Handling speech repairs and other disruptions through parser metarules", AAAI Spring Symposium on Computational Models for Mixed Initiative Interaction, Mar.
24. Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge focuses on the cognitive approaches, methodologies, principles, and concepts involved in the communication of knowledge.
The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Fleming, M. and Cohen, R.; Reasoning about interaction in mixed-initiative AI systems; IJCAI03 workshop on mixed-initiative intelligent systems; August (10 pages).
Tran, T. and Cohen, R.; Learning algorithms for software agents in uncertain and untrusted market environments; Proceedings of IJCAI03; Augustp. models, the mixed-initiative dialog model allows both the user and the system to influence the course of interaction.
It is pos-sible to handcraft a sophisticated mixed-initiative dialog flow, but the task is expensive, and may become intractable for com-plex application domains. Recent research efforts in dialog modeling attempt to reduce.
3. The representative collaborative task. As per step 1 of the framework of Fig. 1, a representative collaborative task was the task, ten (10) rectangular paper boxes with identical appearance (black) and dimensions were kept in a room, as shown in Fig.
boxes were randomly put in the left side, and the remaining five boxes were randomly put in the right side of the Author: S.M. Mizanoor Rahman.