A natural language exchange model for enabling human, agent, robot and machine interaction

Matson, Eric T.; Taylor, Julia M.; Raskin, Victor; Min, Byung‐Cheol; Wilson, Emma

doi:10.1109/icara.2011.6144906

Cited by 33 publications

(14 citation statements)

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“…Somewhat less pertinently perhaps but not without some relevance to us, there have been some reverberations 18 of the 1980s much misguided philosophical discourse about ways to separate human intelligence from machine intelligence (without knowing much about either at the time), in which the Turing Test 19 was loosely metaphorized, if not actually parodied 20,21,22,23 . It is this effort that we refer to 24 when talking about the ideal of indistiguishability of communication between a human and a robot. Going back to Section 1, CHARMS is designed to make the task of differentiating between manifestations of human and artificial intelligence even harder than presented there.…”

Section: Related Research In Organization Of Workmentioning

confidence: 99%

Theory, Methodology, and Implementation of Robotic Intelligence and Communication

Raskin

2015

Procedia Computer Science

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This paper makes several uncommon claims. First, it suggests a theoretical approach, even though the theory comes with a clear methodology and implementation, so that we know what we do, how we do it, and why it is best to do it that way. Second, it pushes forward HARMS communication in natural language and explains why it is better that way. Third, it insists on the semantic approach so that all the HARMS agents "understand" (or even understand) what is going on--along with what is not. Fourth, most specifically and, hence, perhaps least importantly, it proposes one particular method of doing it, mildly hinting that some of its principles are unavoidable.

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Section: Related Research In Organization Of Workmentioning

confidence: 99%

Theory, Methodology, and Implementation of Robotic Intelligence and Communication

Raskin

2015

Procedia Computer Science

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“…The above components p er comprehend better what tion showing language-inde [22]; lexicon is a group of ogy which is used to repre tionary of all proper names and their description ancho with other PND entries" [4] Once OST is implemente computer or the robot shou sentence, such as syntax, s all contextual information application because a speci knowledge in the respective mation can be given based o…”

Section: Ontology-based Natural Language Processingmentioning

confidence: 99%

“…Taylor upported natural language ionary (PND) le resource provide information of the world so that it helps a comp humans know and say; ontology is a graphical represen ependent concepts and their relationships in the world [2 "word senses anchored in the language-independent on esent their meaning" [4]; proper name dictionary is a d s such as "names of people, countries, organizations, e oring them in ontological concepts and interlinking th ]. ed on computers or robots for human-robot interaction, uld be able to interpret through all information shown i emantics, and common-sensed information.…”

Section: Figmentioning

confidence: 99%

“…The implementation of the ontological semantics has been developed with the name "ontological semantic technology (OST)" [20]. It consists of multiple "repositories of world and linguistic knowledge, acquired semi-automatically within the approach and used to disambiguate the different meanings of words and sentences and to represent them" [4]. And each repository consists of each of the following components:…”

Section: Ontology-based Natural Language Processingmentioning

confidence: 99%

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Design of Knowledge-Based Communication between Human and Robot Using Ontological Semantic Technology in Firefighting Domain

Hong

Matson

Taylor

2014

Robot Intelligence Technology and Applications 2

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Abstract. This paper discusses how to design robot-human communication using Ontological Semantic Technology (OST), which is to address meanings of phrases or sentences in natural languages, in a firefighting domain. The OST is a system in an ontology-based structure to deal with different natural languages. In this study, English and Korean were selected to be implemented for the OST. The problem set is designed with Natural English, direct translation from the natural English to Korean, natural Korean, and direct translation from the natural Korean to English, which can be compared to examine the similarity of meanings with a language-independent ontology in processing English and Korean.

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“…Matson and Min [7] introduced Human-Agent-Robot-Machine-Sensor (HARMS) model for interactions among heterogeneous actors. HARMS connects actors over network by peer-to-peer manner and uses particular message types such that all actors are indistinguishable in terms of which type of actor (e.g., robot, software agent, or even human) sends a message [8].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Goal-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV

Kim

Jung

Gallagher

et al. 2016

IJFIS

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In a dynamic environment autonomous robots often encounter unexpected situations that the robots have to deal with in order to continue proceeding their mission. We propose an adaptive goal-based model that allows cyber-physical systems (CPS) to update their environmental model and helps them analyze for attainment of their goals from current state using the updated environmental model and its capabilities. Information exchange approach utilizes HumanAgent-Robot-Machine-Sensor (HARMS) model to exchange messages between CPS. Model validation method uses NuSMV, which is one of Model Checking tools, to check whether the system can continue its mission toward the goal in the given environment. We explain a practical set up of the model in a situation in which homogeneous robots that has the same capability work in the same environment.

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A natural language exchange model for enabling human, agent, robot and machine interaction

Cited by 33 publications

References 10 publications

Theory, Methodology, and Implementation of Robotic Intelligence and Communication

Theory, Methodology, and Implementation of Robotic Intelligence and Communication

Design of Knowledge-Based Communication between Human and Robot Using Ontological Semantic Technology in Firefighting Domain

An Adaptive Goal-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV

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