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Seven Aspects of Mixed-Initiative Reasoning: An Introduction to this Special Issue on Mixed-Initiative Assistants
TLDR
We introduce seven aspects of mixed-initiative reasoning (task, control, awareness, communication, personalization, architecture, and evaluation) and discusses them in the context of several state-of-the-art mixed-Initiative assistants. Expand
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An Integrated Shell and Methodology for Rapid Development of Knowledge-Based Agents
TLDR
This paper introduces the concept of learning agent shell as a new class of tools for rapid development of practical end-to-end knowledge-based agents, by domain experts, with limited assistance from knowledge engineers. Expand
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Personal Cognitive Assistants for Military Intelligence Analysis: Mixed-Initiative Learning, Tutoring, and Problem Solving
This paper presents research on developing a new type of tool that can alleviate several systemic problems faced by the traditional intelligence analysis process. The tool is a personal cognitiveExpand
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Improving Agent Learning through Rule Analysis
TLDR
This paper addresses the problem of improving the process by which an agent learns problem solving rules from a subject matter expert. Expand
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A methodology for personalized competency-based learning in undergraduate courses
TLDR
In this paper, we describe a methodology for integrating personalized competency-based learning in a group of correlated courses in typical undergraduate education settings. Expand
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Mixed-Initiative Assumption-Based Reasoning for Complex Decision-Making
TLDR
This paper discusses several critical capabilities of the Disciple-LTA system for complex problem-solving and decision-making, including a transparent and easy to understand reasoning process, a flexible and natural collaboration with the user, and the use of what-if scenarios to cope with incomplete and uncertain information. Expand
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Training and Using Disciple Agents: A Case Study in the Military Center of Gravity Analysis Domain
TLDR
This article presents the results of a multifaceted research and development effort that synergistically integrates AI research with military strategy research and practical deployment of agents into education. Expand
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Modeling and learning with incomplete knowledge
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An Innovative Application from the DARPA Knowledge Bases Programs: Rapid Development of a Course-of-Action Critiquer
TLDR
This article presents a learning agent shell and methodology for building knowledge bases and agents and their innovative application to the development of a critiquing agent for military courses of action, a challenge problem set by the Defense Advanced Research Projects Agency's High-Performance Knowledge Bases Program. Expand
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Intelligence Analysis as Agent-Assisted Discovery of Evidence, Hypotheses and Arguments
This paper presents a computational approach to intelligence analysis which is viewed as mixed-initiative discovery of evidence, hypotheses and arguments by an intelligence analyst and a cognitiveExpand
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