Using conceptual space and cultural evolution in language game
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2016
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2559
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eng
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89 leaves
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b196947
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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National Institute of Development Administration. Library and Information Center
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Theerapol Limsatta (2016). Using conceptual space and cultural evolution in language game. Retrieved from: https://repository.nida.ac.th/handle/662723737/5224.
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Using conceptual space and cultural evolution in language game
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Abstract
Agreement on word-object pairing in communication depends on the intensity
of belief that gradually emerges in a society of agents under the condition that no one
is born with embedded knowledge. In know-nothing word-object pairing, the agents in
communication find meaning until they reach a consensus on what an object should be
called. A language game is a social process of finding agreement on word-object pairing
which enables its communication in a multi-agent system. In this research, techniques
are proposed to discover the association between a word and agents’ beliefs on an object
using self-organizing maps and flexible searching with a cultural algorithm to find the
meaning for concepts in a space that retains the agents’ beliefs in three quality
dimensions represented by colors: red, green, and blue. The techniques were evaluated
in a variety of scenarios using four significant measures: coherence, specificity, success
rate, and word count. The results show that social agents were able to quickly reach
mutual agreement for multiple listeners by searching their social beliefs and using a
cultural algorithm to search for cultural beliefs.
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Thesis (Ph.D. (Computer Science and Information Systems))--National Institute of Development Administration, 2016