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....
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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...
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...
198 CHAPTER TWENTY-SIX Through the Looking Glass “There’s definitely a deep state. Trust me, I’ve been there” —Edward Snowden in Moscow While waiting to hear back from Kucherena’s office, I arranged to meet with Victor Ivanovich Cherkashin, who gad been one of the most successf...
PA session because, to do so, would be revealing classified information he had swore to protect. No doubt other intelligence officers find themselves in a similar bind in discussing secret matters. This suggests that there is a risk in accepting statements made by the intelligen...
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...
Chapter 1 Introduction 1.1 AI Returns to Its Roots Our goal in this book is straightforward, albeit ambitious: to present a conceptual and technical design for a thinking machine, a software program capable of the same qualitative sort of general intelligence as human beings. I...
1 The Computational Structure of Mental Representation Joscha Bach [email protected] Berlin, February 26th, 2013 Now is the time for starting a new Artificial Intelligence initiative. What is the mind? –this is arguably the most interesting question that our species can a...
200 | HOW AMERICA LOST ITS SECRETS Central Intelligence Agency, the Treasury Department, the Atomic Energy Commission, and the FBI. With a multibillion-dollar “black budget” hidden from public scrutiny, the NSA’s technology director- ate invested in state-of-the-art equipment, i...
I first met Frank Wilczek in the 1980s, when he invited me to his home in Princeton to talk about anyons. “The address is 112 Mercer Street,” he wrote. “Look for the house with no driveway.” So there I was, a few hours later, in Einstein’s old living room, talking to a future rec...