52 | HOW AMERICA LOST ITS SECRETS of the twenty-first century, the U.S. Naval Research Laboratory and the Defense Advanced Research Projects Agency developed it to allow American intelligence operatives to cloak their movements on the Internet. They could anonymously manipulate...
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Mind over Computer 33 At first glance, the problem appears to be one of social engineering. Teachers don't want to disappoint, and academic institutions want to improve on last year’s results. The people awarding the grades often have a vested interest in those grades improving....
The bureau already has some explaining to do. Thanks to the Washington Post’s unnamed law-enforcement leakers, we know Mr. Nunes’s request deals with a “top secret intelligence source” of the FBI and CIA, who is a U.S. citizen and who was involved in the Russia collusion probe. W...
10.5 How Might the Mind-World Correspondence Principle Be Useful? 181 That is, a little more loosely: the hypothesis is that, for intelligence to occur, there has to be a natural correspondence between the transition-sequences of world-states and the corresponding transition-seq...
165 companies acted less like management consultants and more like temporary employment agencies in finding for the NSA the computer specialists, who had the necessary security clearances. Unlike intelligence services, their fate depended on turning profits. Since the value of t...
References 347 Hut95. E. Hutchins. Cognition in the Wild. MIT Press, 1995. Hut 96. Edwin Hutchins. Cognition in the Wild. MIT Press, 1996. Hut05. Marcus Hutter. Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Prob- ability. Springer, 2005. HZT+ 02....
References 345 Ede93. Gerald Edelman. Neural darwinism: Selection and reentrant signaling in higher brain function. Neuron, 10, 1993. Elm91. J. Elman. Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7:195-226, 1991. EMC12. E...
Glossary of Specialized Terms 333 Hebbian Links: Links recording information about the associative relationship (co- occurrence) between Atoms. These include symmetric and asymmetric HebbianLinks. Heterarchical Network: A network of linked elements in which the semantic relation...
172 9 General Intelligence in the Everyday Human World on the importance of vision processing for humanlike cognition. The key thing an AGI requires to support humanlike “visual intelligence” is an environment containing a sufficiently robust collection of materials that object...
My command of Battalion 532 lasted only a few more months. On April 1, 1974, an official commission of inquiry published its initial report on the war. It was scathing in its assessment of our intelligence failings, for which it placed the main blame the officer who had been prom...
154 Teaching Minds look like a genius. But what actually makes us feel that a scientist’s accurate predictions make him smart is the reasoning behind those predictions, the causal explanation. We can see how intelligence, or the lack of it, is perceived by people and we must be...
xvi Contents 8.7.1 The Puzzle: Why Is It So Hard to Measure Partial Progress Toward Hii lével AGL? ws euses ames €3 8@9mE S@EWS SUES EREMS EOEws dOEAs eos 157 8.7.2 A Possible Answer: Cognitive Synergy is Tricky!...................... 158 8.7.38 Conclusion ......... 000.0 teet...
In the 1980s, Judea Pearl introduced a new approach to artificial intelligence called Bayesian networks. This probability-based model of machine reasoning enabled machines to function—in a complex and uncertain world—as “evidence engines,’ continuously revising their beliefs in l...
processing performed by elementary particles moving around, and there’s no law of physics that says one can’t build machines more intelligent in every way than we are, and able to seed cosmic life. This suggests that we’ve seen just the tip of the intelligence iceberg; there’s an...
Preface This is a large, two-part book with an even larger goal: To outline a practical approach to engineering software systems with general intelligence at the human level and ultimately beyond. Machines with flexible problem-solving ability, open-ended learning capability, cr...