Computational Models of Mixed-Initiative Interaction / Edition 1

Computational Models of Mixed-Initiative Interaction / Edition 1

by Susan Haller
     
 

Computational Models of Mixed-Initiative Interaction brings together r esearch that spans several disciplines related to artificial intellige nce, including natural language processing, information retrieval, mac hine learning, planning, and computer-aided instruction, to account fo r the role that mixed initiative plays in the design of intelligent sy stems. The

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Overview

Computational Models of Mixed-Initiative Interaction brings together r esearch that spans several disciplines related to artificial intellige nce, including natural language processing, information retrieval, mac hine learning, planning, and computer-aided instruction, to account fo r the role that mixed initiative plays in the design of intelligent sy stems. The ten contributions address the single issue of how control o f an interaction should be managed when abilities needed to solve a pr oblem are distributed among collaborating agents.

Product Details

ISBN-13:
9780792355724
Publisher:
Springer Netherlands
Publication date:
08/31/1999
Edition description:
Reprinted from USER MODELING AND USER-ADAPTED INTERACTION, 8:3-4; 9:1-2, 1999
Pages:
398
Product dimensions:
9.21(w) x 6.14(h) x 0.94(d)

Table of Contents

Preface; S. Haller, S. McRoy. What is Initiative? R. Cohen, et al. An Evidential Model for Tracking Initiative in Collaborative Dialogue Interactions; J. Chu-Carroll, M.K. Brown. An Analysis of Initiative Selection in Collaborative Task-Oriented Discourse; C.I. Guinn. COLLAGEN: A Collaboration Manager for Software Interface Agents; C. Rich, C. Sidner. Lifelike Pedagogical Agents for Mixed-initiative Problem Solving in Constructivist Learning Environments; J.C. Lester, et al. Mixed-Initiative Issues in an Agent-Based Meeting Scheduler; A. Cesta, D. d'Aloisi. Exploring Mixed-Initiative Dialogue Using Computer Dialogue Simulation; M. Ishizaki, et al. A Computational Mechanism for Initiative in Answer Generation; N. Green, S. Carberry. User-Tailored Planning of Mixed Initiative Information-Seeking Dialogues; A. Stein, et al. An Approach to Mixed Initiative Spoken Information Retrieval Dialogue; E. Hagen.

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