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pro vyhledávání: '"Ikle, Matt"'
Autor:
Iklé, Matthew Oliver.
Thesis (Ph. D.)--University of Wisconsin--Madison, 1993.
Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 199-203).
Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 199-203).
Externí odkaz:
http://catalog.hathitrust.org/api/volumes/oclc/30480370.html
Autor:
Kolonin, Anton, Duong, Deborah, Goertzel, Ben, Pennachin, Cassio, Iklé, Matt, Znidar, Nejc, Argentieri, Marco
We simulate a reputation system in a market to optimise the balance between market security and market equity. We introduce a method of using a reputation system that will stabilise the distribution of wealth in a market in a fair manner. We also int
Externí odkaz:
http://arxiv.org/abs/2210.02362
Autor:
Kolonin, Anton, Goertzel, Ben, Pennachin, Cassio, Duong, Deborah, Argentieri, Marco, Iklé, Matt, Znidar, Nejc
Problem of reliable democratic governance is critical for survival of any community, and it will be critical for communities powered with Artificial Intelligence (AI) systems upon developments of the latter. Apparently, it will be getting more and mo
Externí odkaz:
http://arxiv.org/abs/2210.02356
Autor:
Kolonin, Anton, Goertzel, Ben, Pennachin, Cassio, Duong, Deborah, Ikle, Matt, Znidar, Nejc, Argentieri, Marco
We present an exploration of a reputation system based on explicit ratings weighted by the values of corresponding financial transactions from the perspective of its ability to grant "security" to market participants by protecting them from scam and
Externí odkaz:
http://arxiv.org/abs/1905.08036
Understanding the principles of consensus in communities and finding ways to optimal solutions beneficial for entire community becomes crucial as the speeds and scales of interaction in modern distributed systems increase. Such systems can be both so
Externí odkaz:
http://arxiv.org/abs/1811.08149
One approach to achieving artificial general intelligence (AGI) is through the emergence of complex structures and dynamic properties arising from decentralized networks of interacting artificial intelligence (AI) agents. Understanding the principles
Externí odkaz:
http://arxiv.org/abs/1806.07342