Conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents

There is an overwhelming variation in the ways an intelligent agent can rationalize communication with a conversational partner. This variation presents many incompatibilities that lead to the specialization of conversational capabilities. This has produced a plethora of models and i...

Full description

Bibliographic Details
Main Author: Lee, John Ray
Other Authors: Williams, Andrew
Format: Others
Language:English
Published: University of Iowa 2006
Subjects:
Online Access:https://ir.uiowa.edu/etd/61
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1246&context=etd
id ndltd-uiowa.edu-oai-ir.uiowa.edu-etd-1246
record_format oai_dc
spelling ndltd-uiowa.edu-oai-ir.uiowa.edu-etd-12462019-10-13T05:03:30Z Conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents Lee, John Ray There is an overwhelming variation in the ways an intelligent agent can rationalize communication with a conversational partner. This variation presents many incompatibilities that lead to the specialization of conversational capabilities. This has produced a plethora of models and ideas on how an intelligent agent should understand, interact with, and incorporate communication from a human conversational participant. This dissertation approaches this problem with the thesis that there exists a language between that of human natural language and the behavioral reasoning of an intelligent agent, and that this language is capable of not only unifying the various models used in literature, but also provides the foundation for a theoretical framework for an engineering methodology for building such models. A theory of practical communication language is developed, including the introduction of the meaning-action concept, an expressive and powerful representation based on speech-act and dialogue-act theories, but extended with notions of behavioral operators as well as signatures that allow the operators to incorporate structured and well-defined concepts. An engineering methodology is presented for the construction of concepts, operators and rules that create the language and model of a specific domain, including methodology for the verification and validation of that language and model. The resultant practical communication language methodology, based on the combination of rational communication and meaning-action concepts, will introduce several major enhancements to dialogue management. These enhancements include the use of meaning-action concepts as a shared medium and the introduction of a shared concept graph. This methodology will be used along with various dialogue models from human-human, human-agent and agent-agent communication to construct a task-oriented language and model called the task communication language framework. This framework is then implemented within an intelligent agent in a real-time resource management simulation. A sample output listing from actual human interaction with that implementation is used to demonstrate that the resulting framework does indeed incorporate many of the disparate models of communication and their corresponding capabilities including command and control, information seeking, notification and bother, clarification, explanation, discussion, negotiation, mutual planning, interruption, feedback, adjustable autonomy and corrective dialogues. 2006-01-01T08:00:00Z dissertation application/pdf https://ir.uiowa.edu/etd/61 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1246&context=etd Copyright 2006 John Ray Lee Theses and Dissertations eng University of IowaWilliams, Andrew Intelligent Agent Dialogue Management Natural Language Understanding Task-Oriented Practical Communication Language Task Communication Language Electrical and Computer Engineering
collection NDLTD
language English
format Others
sources NDLTD
topic Intelligent Agent
Dialogue Management
Natural Language Understanding
Task-Oriented
Practical Communication Language
Task Communication Language
Electrical and Computer Engineering
spellingShingle Intelligent Agent
Dialogue Management
Natural Language Understanding
Task-Oriented
Practical Communication Language
Task Communication Language
Electrical and Computer Engineering
Lee, John Ray
Conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents
description There is an overwhelming variation in the ways an intelligent agent can rationalize communication with a conversational partner. This variation presents many incompatibilities that lead to the specialization of conversational capabilities. This has produced a plethora of models and ideas on how an intelligent agent should understand, interact with, and incorporate communication from a human conversational participant. This dissertation approaches this problem with the thesis that there exists a language between that of human natural language and the behavioral reasoning of an intelligent agent, and that this language is capable of not only unifying the various models used in literature, but also provides the foundation for a theoretical framework for an engineering methodology for building such models. A theory of practical communication language is developed, including the introduction of the meaning-action concept, an expressive and powerful representation based on speech-act and dialogue-act theories, but extended with notions of behavioral operators as well as signatures that allow the operators to incorporate structured and well-defined concepts. An engineering methodology is presented for the construction of concepts, operators and rules that create the language and model of a specific domain, including methodology for the verification and validation of that language and model. The resultant practical communication language methodology, based on the combination of rational communication and meaning-action concepts, will introduce several major enhancements to dialogue management. These enhancements include the use of meaning-action concepts as a shared medium and the introduction of a shared concept graph. This methodology will be used along with various dialogue models from human-human, human-agent and agent-agent communication to construct a task-oriented language and model called the task communication language framework. This framework is then implemented within an intelligent agent in a real-time resource management simulation. A sample output listing from actual human interaction with that implementation is used to demonstrate that the resulting framework does indeed incorporate many of the disparate models of communication and their corresponding capabilities including command and control, information seeking, notification and bother, clarification, explanation, discussion, negotiation, mutual planning, interruption, feedback, adjustable autonomy and corrective dialogues.
author2 Williams, Andrew
author_facet Williams, Andrew
Lee, John Ray
author Lee, John Ray
author_sort Lee, John Ray
title Conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents
title_short Conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents
title_full Conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents
title_fullStr Conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents
title_full_unstemmed Conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents
title_sort conversations with an intelligent agent: modeling and integrating patterns in communications among humans and agents
publisher University of Iowa
publishDate 2006
url https://ir.uiowa.edu/etd/61
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1246&context=etd
work_keys_str_mv AT leejohnray conversationswithanintelligentagentmodelingandintegratingpatternsincommunicationsamonghumansandagents
_version_ 1719265502536138752