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Hawaii ferry dreams face cost, public opinion hurdles 1 Mike

The Japan Times

HONOLULU – When a ferry loomed outside a Kauai harbor in 2007, surfers and kayakers -- looking like tiny ducks in comparison -- blocked its path, preventing it from unloading hundreds of passengers and sending the giant catamaran back to Oahu. The emotional standoff where surfers bobbed in the water for hours marked the end to an expensive failure in Hawaii's history: the Superferry. Now the state is exploring bringing back a ferry to run between islands, facing skepticism over financing and whether there's a ferry system residents would accept. Lawmakers approved $50,000 in May to study a possible interisland ferry, and the state Department of Transportation received a $500,000 grant from the federal Maritime Administration to hire consultants to explore potential routes and boats. "The feasibility study might come back and say maybe it's not financially feasible for us to do this," said Ford Fuchigami, director of the state Transportation Department.


Local transit is a budget traveler's best friend

Los Angeles Times

Two cable cars pass in the night on Powell Street in San Francisco. Two cable cars pass in the night on Powell Street in San Francisco. Sure, public transit operates mainly for local commuting for work and school and shopping trips. But some of those everyday transit trips can be spectacular for visitors too. Although you can find good transit rides in many places, I have a favorites list of public trips in the U.S. that should be on your list whenever you visit these place.


Putting Artificial Intelligence On The Hunt For Poachers

#artificialintelligence

The problem of how to defend a country changes when your attacker isn't acting rationally. Terrorists put their causes above their home country and don't necessarily fear death or retaliation. So shortly after 9/11, Milind Tambe, a professor of computer science and engineering at USC, proposed a radical new style of protection: Why not use artificial intelligence to make your own targets harder to attack? By matching predictive algorithms with machine learning and some massive processing power, you could create a computer program capable of figuring out how to deploy limited security forces around sensitive places most effectively. The trick would be for those schedules or formations to remain unpredictable.


Protecting Moving Targets with Multiple Mobile Resources

Journal of Artificial Intelligence Research

In recent years, Stackelberg Security Games have been successfully applied to solve resource allocation and scheduling problems in several security domains. However, previous work has mostly assumed that the targets are stationary relative to the defender and the attacker, leading to discrete game models with finite numbers of pure strategies. This paper in contrast focuses on protecting mobile targets that leads to a continuous set of strategies for the players. The problem is motivated by several real-world domains including protecting ferries with escort boats and protecting refugee supply lines. Our contributions include: (i) A new game model for multiple mobile defender resources and moving targets with a discretized strategy space for the defender and a continuous strategy space for the attacker.


Protecting Moving Targets with Multiple Mobile Resources

Journal of Artificial Intelligence Research

In recent years, Stackelberg Security Games have been successfully applied to solve resource allocation and scheduling problems in several security domains. However, previous work has mostly assumed that the targets are stationary relative to the defender and the attacker, leading to discrete game models with finite numbers of pure strategies. This paper in contrast focuses on protecting mobile targets that leads to a continuous set of strategies for the players. The problem is motivated by several real-world domains including protecting ferries with escort boats and protecting refugee supply lines. Our contributions include: (i) A new game model for multiple mobile defender resources and moving targets with a discretized strategy space for the defender and a continuous strategy space for the attacker.