Statistics – Applications
Scientific paper
Jan 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997aipc..387..865a&link_type=abstract
Space technology and applications international forum (STAIF - 97). AIP Conference Proceedings, Volume 387, pp. 865-870 (1997).
Statistics
Applications
Scientific paper
Development and settlement of the moon during the 21st century will drive the market for unprecedented collaborations between humans and increasingly `intelligent' machines. An expanded concept of human endeavor in space-developing a lunar territory-has identified novel human-`intelligent' machine concepts (HIMACs) to support this new human reach. These HIMACs could enable entirely new functions and capabilities, provide quantum improvements in productivity including lower costs, challenge human ingenuity and inspire sustained public interest in human space exploration and commercial development. The paper describes HIMACs resulting from a workshop using the Horizon Mission Methodology to address a Lunar Territory of 2050. Such a `future' mission has direct application to any future intent of large-scale space development. The HIMACs generated fall into four functional classes: lunar-development ecology; self-expansion of lunar endeavors; human extensions; and a two-planet economy.
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