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POHL, GABRIELA (4) answer(s).
 
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ID:   177899


Countering Intelligence Algorithms : Decision Theory, Design Choices and Counter-AI / Phillips, Peter J; Pohl, Gabriela   Journal Article
Phillips, Peter J Journal Article
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Summary/Abstract The use of artificial intelligence (AI) and algorithms by intelligence agencies requires the capability to counter their use by rival agencies. A formal-technical development of this capability can be assisted by decision theory, including behavioural economics. Peter J Phillips and Gabriela Pohl argue that decision theory provides a useful framework that can be used to think about thinking. It is a catalogue of things that human decision-makers can consult when considering their own decision-making processes or those of adversaries and friends. Such a catalogue may be relevant during the development of AI and counter-AI capability in an intelligence setting.
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2
ID:   182556


Space Junk: Behavioural Economics and the Prioritisation of Solutions / Phillips, Peter J; Pohl, Gabriela   Journal Article
Phillips, Peter J Journal Article
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Summary/Abstract The use and exploration of outer space is, according to the Outer Space Treaty (OST), to be carried out for the benefit and interest of all parties. Outer space is critically important to the defence and national security interests of many nations, none more so than the United States. Over time, a significant space junk problem has emerged. There is growing recognition of this problem and reason to believe that it will only get worse if current activities continue. Space junk presents a threat to the national security interests and economic interests of spacefaring nations. Various solutions are being proposed and developed. This paper presents an economic perspective and, in a particular, a behavioural economics perspective, on the space junk and national security problem. As various potential technological solutions emerge, we are interested in the obstacles that may stand in the way of an optimal prioritisation of the alternatives.
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3
ID:   151707


Terrorist choice: a stochastic dominance and prospect theory analysis / Pohl, Gabriela; Phillips, Peter J   Journal Article
Phillips, Peter J Journal Article
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Summary/Abstract The paper explores terrorist choice by applying two well-known theoretical frameworks: stochastic dominance and prospect theory (PT). We analyse each pair of attack methods that can be formed from the RAND-MIPT database and the Global Terrorism Database. Instances of stochastic dominance are identified. PT orderings are computed. Attention is accorded to the identification of ‘trigger points’ and the circumstances that may lead to an increased likelihood that a terrorist will select an attack method associated with a higher expected number of fatalities, i.e. a potentially more damaging attack method.
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4
ID:   179138


Tinker, Thaler, Soldier, Spy: Behavioral Economics of HUMINT Transactions and Source Prioritizations / Phillips, Peter J; Pohl, Gabriela   Journal Article
Phillips, Peter J Journal Article
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Summary/Abstract Behavioral economics, or “economics and psychology,” is an attempt to extend the explanatory power of economics by developing economic theory on more plausible psychological foundations.1 Most of its findings and applications pertain to decisionmaking under conditions of risk and uncertainty. There are two parts of the intelligence process to which an understanding of behavioral economics may be relevant: (1) the transactions and exchanges involved in agent recruitment and agent running, and (2) the task of prioritizing human intelligence (HUMINT) sources for interrogation. More generally, any prioritization task involving ranking or ordering is shaped systematically by the human decisionmaking process.
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