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Cross-Cultural Nonverbal Cue Immersive Training
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In: DTIC (2008)
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122 |
Iterated Class-Specific Subspaces for Speaker-Dependent Phoneme Classification
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In: DTIC (2008)
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123 |
Listener Detection of Talker Stress in Low-Rate Coded Speech
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In: DTIC (2008)
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124 |
Social Sensemaking in Multinational Groups: A Common Ground Approach
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In: DTIC (2008)
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125 |
Accurate Representation of Attenuation in Large-Signal Helix TWT Simulation Codes
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In: DTIC (2008)
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126 |
Towards Commanding Unmanned Ground Vehicle Movement in Unfamiliar Environments Using Unconstrained English: Initial Research Results
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In: DTIC (2007)
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127 |
Comparing Evaluation Metrics for Sentence Boundary Detection
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In: DTIC (2007)
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128 |
Scaling Up of Action Repertoire in Linguisitic Cognitive Agents
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In: DTIC (2007)
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Abstract:
We suggest the utilization of the Modeling Field Theory (MFT) to deal with the combinatorial complexity problem of language modeling in cognitive robotics. In new simulations we extend our previous MFT model of language to deal with the scaling up of the robotic agent's action repertoire. Simulations are divided into two stages. First agents learn to classify 112 different actions inspired by an alphabet system (the semaphore flag signaling system). In the second stage, agents also learn a lexical item to name each action. At this stage the agents will start to describe the action as a 'word' comprised of three letters (consonant - vowel - consonant). The results of the simulations demonstrate that: (i) agents are able to acquire a complex set of actions by building sensorimotor concept-models; (ii) agents are able to learn a lexicon to describe these objects/actions through a process of cultural learning; and (iii) agents learn actions as basic gestures in order to generate composite actions. ; Prepared in cooperation with the Universidade de Sao Paulo, Sao Carlos, Brazil; Harvard University, Cambridge MA; and the Air Force Research Laboratory, Hanscom, MA. Presented at the International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007, held in Waltham, MA on 29 Apr-3 May 2007. Published in the Proceedings, p162-172; ISBN 1-4244-0945-4. The original document contains color images.
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Keyword:
*COMPUTATIONAL LINGUISTICS; *MODEL THEORY; *ROBOTICS; AUTONOMOUS COGNITIVE SYSTEMS; CC(COMBINATORIAL COMPLEXITY); Cybernetics; LANGUAGE; LANGUAGE ACQUISITION; LEARNING MACHINES; LEXICONS; Linguistics; MATHEMATICAL MODELS; MFT(MODELING FIELD THEORY); PROGRESSIVE LEARNING; SIMULATION; SYMPOSIA
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URL: http://www.dtic.mil/docs/citations/ADA475809 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA475809
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129 |
The Navy's New Recruiting Challenge - Find Recruits That Can Speak a Little Pashtu!
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In: DTIC (2007)
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130 |
Work-Centered Approach to Insurgency Campaign Analysis
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In: DTIC (2007)
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131 |
Operational Command and Control in the Age of Entropy
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In: DTIC (2007)
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133 |
Real Time News Analysis for Improved Social Relationship Discovery
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In: DTIC (2007)
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134 |
Time-Series Data Exchange Using the Geography Markup Language
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In: DTIC (2007)
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135 |
DoD Enterprise Architecting: Joint Issues Derived From SOF Air Analysis
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In: DTIC (2006)
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136 |
Using Prosody for Automatic Sentence Segmentation of Multi-Party Meetings
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In: DTIC (2006)
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137 |
Tactical Digital Information Link-Technical Advice and Lexicon for Enabling Simulation (TADIL-TALES) II: Link 11/11B
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In: DTIC (2006)
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139 |
Efficacy in Automated Language Translators
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In: DTIC (2006)
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