Results for “Pritzker Architecture”

Glossary of Specialized Terms 337 MOSES (Meta-Optimizing Semantic Evolutionary Search): An algorithm for proce- dure learning, which in the current implementation learns programs in the Combo language. MOSES is an evolutionary learning system, which differs from typical genetic...

4.5 Globalist versus Localist Representations 81 gorization of visual memory contents takes place by retrieving object and scene categories from DUAL’s semantic memory and mapping them onto current visual memory representations. DUAL coalihon DUAL Semantic Memory / f tworecHu...

4.3 Emergentist Cognitive Architectures 67 Inferred state Action/ Correction | J -—— Critic “< : ~ h A Deep y Learning System Actor Pa Ee. (state inference) — A Actions Observations Rewards Environment ] Fig. 4.4: High-level architecture of DeSTIN brain is a massively paral...

66 4 Brief Survey of Cognitive Architectures seem remotely capable of giving rise to such phenomena. It seems to us that the creation o a successful emergentist AGI will have to wait for either a detailed understanding of how the brain gives rise to abstract thought, or a much m...

80 4 Brief Survey of Cognitive Architectures 4.5.2 The Society of Mind and the Emotion Machine In his influential but controversial book The Society of Mind [Min&8], Marvin Minsky described a model of human intelligence as something that is built up from the interactions of num...

346 A Glossary Goe08. Ben Goertzel. A pragmatic path toward endowing virtually-embodied ais with human-level lin- guistic capability. IEEE World Congress on Computational Intelligence (WCCI), 2008. Goe09a. Ben Goertzel. Cognitive synergy: A universal principle of feasible gener...

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...

5.3 An Architecture Diagram for Human-Like General Intelligence 101 Each of these long-term memory types has its analogue in working memory as well. In some cognitive models, the working memory and long-term memory versions of a memory type and corresponding cognitive processes,...

13.6 Glocal Memory 261 Glocal memory overcomes the dichotomy between localized memory (in which each memory item is stored in a single location within an overall memory structure) and distributed memory (in which a memory item is stored as an aspect of a multi-component memory s...

1.12 Key Claims of the Book 13 The best way to deal with this second “bad AGI” problem is to build ethics into your AGI architecture — and we have done this with CogPrime, via creating a goal structure that explicitly supports ethics-directed behavior, and via creating an overal...

262 13 Local, Global and Glocal Knowledge Representation 13.6.1 A Semi-Formal Model of Glocal Memory To explain the notion of glocal memory more precisely, we will introduce a simple semi-formal model of a system S that uses a memory to record information relevant to the action...

6.3 Current and Prior Applications of OpenCog 109 SPACETIME DIMENSIONAL BACKUP SERVER EMBEDDING STORE SPACE ASSOCIATIVE EPISODIC MEMORY REPOSITORY / \ FORMATION MaSES/ WORLD CLIMBING ‘errr PROCEDURE AGING Te EMBEDDING ATTENTION AGRA ALLOCATION EPISODIC ENCODING / RECALL...

From: Lesley Groff Sent: 5/4/2016 6:06:21 PM To: Jefffrey Epstein [[email protected]] Subject: Fwd: Larry Summers - Foreign Affairs - The Fusion of Civilizations Importance: High Begin forwarded message: From: Kelly Friendly Subject: Larry Summers - Foreign Affairs - The Fusi...

we augment the standard Hopfield net architecture by adding a set of “key