scholarly journals WHY DO TAUNTAUNS HAVE TWO PAIRS OF NOSTRILS? ADAPTATION OF ORGANISMS TO EXTREME ENVIRONMENTS IN THE STAR WARS UNIVERSE

2019 ◽  
Vol 1 (7) ◽  
pp. 77-93
Author(s):  
Jagna CHMIELOWSKA-BĄK
Keyword(s):  
Extreme Environments ◽  
Star Wars

Jedną z ważniejszych cech organizmów jest zdolność adaptacji do otaczającego środowiska. Celem artykułu jest porównanie adaptacji do zróżnicowanych warunków występujących na pustyni, w ekstremalnie zimnych regionach i w środowisku wodnym u organizmów zamieszkujących Ziemię oraz stworzeń wymyślonych na potrzeby sagi Gwiezdne wojny. Omówione zostaną niektóre charakterystyczne dla sagi gatunki: sarlacc, banty, eopi, tauntauny, wampy, morski zabójca opee (ang. opee sea killer), ryba colo claw (ang. colo claw fish), morski potwór sando (ang. sando aqua monster) i aiwha. Występujące u fikcyjnych stworzeń przystosowania do środowiska zostaną porównane z adaptacjami wykształconymi przez wykazujące podobieństwo gatunki zamieszkujące Ziemię. Mechanizm tych przystosowań zostanie wyjaśniony na podstawie aktualnej wiedzy biologicznej.

The Phantom Defense: America's Pursuit of the Star Wars Illusion. By Craig Eisendrath, Melvin A. Goodman, and Gerald E. Marsh. Westport, CT: Praeger, 2001. 216p. $24.95. Ballistic Missile Defense and the Future of American Security: Agendas, Perceptions, Technology, and Policy. By Roger Handberg. Praeger, 2001. 264p. $62.00. Rockets' Red Glare: Missile Defenses and the Future of World Politics. Edited by James J. Wirtz and Jeffrey A. Larsen. Boulder, CO: Westview, 2001. 368p. $28.50.

2002 ◽  
Vol 96 (4) ◽  
pp. 879-880
Author(s):  
David Goldfischer
Keyword(s):  
World Politics ◽  
Ballistic Missile ◽  
Missile Defense ◽  
Star Wars ◽  
Technological Context ◽  
The Future ◽  
Ballistic Missile Defense ◽  
Long Time ◽  
Strategic Defense ◽  
The Subject

As Michael O'Hanlon concludes in his excellent contribution to Rockets' Red Glare: “We should…get used to the debate over ballistic missile defenses. It has been around a long time, and no final resolution is imminent” (p. 132). In one sense, a review of these three recent books makes clear that many analysts had grown a bit too used to positioning themselves in terms of the 1972 ABM Treaty. Preoccupied with arguments over whether the treaty should be preserved, modified, or rewritten in light of a changing strategic and technological context, no one seemed to have anticipated that President George W. Bush would simply withdraw from it, invoking Article XV's provision that either party could withdraw if “extraordinary events related to the subject matter of this Treaty have jeopardized its supreme interests.” Even many strategic defense supporters who deemed the treaty obsolete (as Robert Joseph persuasively maintains in his contribution to Rockets' Red Glare) generally believed that it should only—and would only—be scrapped if negotiations over U.S.-proposed changes broke down. (“The Bush Administration,” surmises O'Hanlon, “will surely try very hard to amend it before going to such an extreme”) (p. 112). In the event, the president's team disavowed even the word “negotiation,” saying they were willing only to “consult” the Russians regarding the treaty's impending demise.

scholarly journals Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments – cyber risk in the colonisation of Mars

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Kevin Page ◽  
Max Van Kleek ◽  
Omar Santos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Real Time ◽  
Cyber Security ◽  
Extreme Environments ◽  
Learning Technologies ◽  
Cyber Attacks ◽  
Edge Computing ◽  
Mathematical Formulas ◽  
Cyber Risk

AbstractMultiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that could be very costly to repair or replace in cases of cyber-attacks. This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self-adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real-time intelligence in edge computing. The paper presents a new mathematical approach for integrating concepts for cognition engine design, edge computing and Artificial Intelligence and Machine Learning to automate anomaly detection. This engine instigates a step change by applying Artificial Intelligence and Machine Learning embedded at the edge of IoT networks, to deliver safe and functional real-time intelligence for predictive cyber risk analytics. This will enhance capacities for risk analytics and assists in the creation of a comprehensive and systematic understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when Artificial Intelligence and Machine Learning technologies are migrated to the periphery of the internet and into local IoT networks.

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