標題: Titlebook: Artificial General Intelligence; Ben Goertzel,Cassio Pennachin Book 2007 Springer-Verlag Berlin Heidelberg 2007 3D graphics.Rover.Universa [打印本頁] 作者: Autonomous 時間: 2025-3-21 17:58
書目名稱Artificial General Intelligence影響因子(影響力)
書目名稱Artificial General Intelligence影響因子(影響力)學(xué)科排名
書目名稱Artificial General Intelligence網(wǎng)絡(luò)公開度
書目名稱Artificial General Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial General Intelligence被引頻次
書目名稱Artificial General Intelligence被引頻次學(xué)科排名
書目名稱Artificial General Intelligence年度引用
書目名稱Artificial General Intelligence年度引用學(xué)科排名
書目名稱Artificial General Intelligence讀者反饋
書目名稱Artificial General Intelligence讀者反饋學(xué)科排名
作者: 貪婪性 時間: 2025-3-22 00:09 作者: 不發(fā)音 時間: 2025-3-22 02:50 作者: 無所不知 時間: 2025-3-22 06:50
T. M. Caldwell,D. Coleman,N. Correllof achieving Artificial Intelligence. Cellular Automata-based Neural Networks are evolved in different modules, which form the components of artificial brains. Results from past models and plans for future work are presented.作者: 立即 時間: 2025-3-22 09:02
Towards a new Robot Generation, that the human mind is largely made up of tricks and sleights of hand that enamor us with much pride; but our pedestal might not be quite so high or robust as we imagine. I will pursue the argument that human cognition is based largely on 3D simulation and as such is particularly vulnerable to co-option by future advances in animation software.作者: Adulate 時間: 2025-3-22 16:28 作者: synovitis 時間: 2025-3-22 20:25
978-3-642-06267-4Springer-Verlag Berlin Heidelberg 2007作者: compel 時間: 2025-3-23 00:33 作者: oxidize 時間: 2025-3-23 03:34
Cognitive Technologieshttp://image.papertrans.cn/b/image/162032.jpg作者: LIMIT 時間: 2025-3-23 08:20 作者: 半導(dǎo)體 時間: 2025-3-23 11:59 作者: Fermentation 時間: 2025-3-23 14:59
T. M. Caldwell,D. Coleman,N. Correll expensive, yet significantly more capable. In addition to concentrating on general learning abilities, a fast-track approach should also seek a path of least resistance — one that capitalizes on human engineering strengths and available technology. Sometimes, this involves selecting the AI road les作者: daredevil 時間: 2025-3-23 19:12 作者: meditation 時間: 2025-3-24 01:03
Yangsheng Xu,Richard P. Paul,Peter I. Corkem, however, has brought substantial progress in the field of theoretically optimal and practically feasible algorithms for prediction, search, inductive inference based on Occam’s razor, problem solving, decision making, and reinforcement learning in environments of a very general type. Since induct作者: reception 時間: 2025-3-24 04:23
Claudio Melchiorri,Gabriele Vassuraby Kurt G?del’s celebrated self-referential formulas (1931), such a problem solver rewrites any part of its own code as soon as it has found a proof that the rewrite is ., where the problem-dependent . and the hardware and the entire initial code are described by axioms encoded in an initial proof s作者: 加劇 時間: 2025-3-24 07:48
Pavan Sikka,Hong Zhang,Steve Sutphen is known. Solomonoff’s theory of universal induction formally solves the problem of sequence prediction for unknown prior distribution. We combine both ideas and get a parameter-free theory of universal Artificial Intelligence. We give strong arguments that the resulting AIXI model is the most inte作者: 必死 時間: 2025-3-24 13:29
The development of a robotic endoscope,th specified properties and we argue, using the Church-Turing thesis, that it covers the informal meaning of intelligence. The program search algorithm can also be used to optimise its own structure and learn in this way. Thus, developing a practical program search algorithm is a way to create AI..T作者: ZEST 時間: 2025-3-24 18:01
A. Casals,M. Frigola,J. Amat,E. Laporte a serious scientific basis of AI research. The “intelligent inventions” of biological evolution (unconditional reflex, habituation, conditional reflex, ...) to be modeled, conceptual background theories (the metasystem transition theory by V.F. Turchin and the theory of functional systems by P.K. A作者: LARK 時間: 2025-3-24 20:38 作者: 龍卷風(fēng) 時間: 2025-3-25 01:44 作者: 交響樂 時間: 2025-3-25 03:28 作者: BRAWL 時間: 2025-3-25 08:24
Yangsheng Xu,Richard P. Paul,Peter I. Corkeive inference is at the heart of all inductive sciences, some of the results are relevant not only for AI and computer science but also for physics, provoking nontraditional predictions based on Zuse’s thesis of the computer-generated universe.作者: 滔滔不絕地講 時間: 2025-3-25 14:39 作者: 鄙視 時間: 2025-3-25 19:33 作者: tackle 時間: 2025-3-25 22:08 作者: chalice 時間: 2025-3-26 03:49 作者: AGONY 時間: 2025-3-26 08:16 作者: 機械 時間: 2025-3-26 10:18 作者: Archipelago 時間: 2025-3-26 13:18 作者: 有常識 時間: 2025-3-26 20:39 作者: 痛打 時間: 2025-3-26 22:09 作者: animated 時間: 2025-3-27 04:41 作者: miniature 時間: 2025-3-27 05:25 作者: 刪減 時間: 2025-3-27 10:01 作者: 整潔 時間: 2025-3-27 17:04
The Logic of Intelligence, novel formal logic, and implemented it in a computer system. Such a “l(fā)ogic of intelligence” provides a unified explanation for many cognitive functions of the human mind, and is also concrete enough to guide the actual building of a general purpose “thinking machine”.作者: parasite 時間: 2025-3-27 20:28
The New AI: General & Sound & Relevant for Physics,ive inference is at the heart of all inductive sciences, some of the results are relevant not only for AI and computer science but also for physics, provoking nontraditional predictions based on Zuse’s thesis of the computer-generated universe.作者: 說不出 時間: 2025-3-27 22:04 作者: originality 時間: 2025-3-28 05:50
Book 2007aven’t progressed too far toward a truly intelligent machine. We have collections of dumb specialists in small domains; the true majesty of general intelligence still awaits our attack. . . . We have got to get back to the deepest questions of AI and general intelligence. . . ” –MarvinMinsky as inte作者: myalgia 時間: 2025-3-28 07:04 作者: 召集 時間: 2025-3-28 10:25
The Novamente Artificial Intelligence Engine,f many prior AI projects and paradigms, including symbolic, probabilistic, evolutionary programming and reinforcement learning approaches; but its overall architecture is unique, drawing on system-theoretic ideas regarding complex mental dynamics and associated emergent patterns. The chapter reviews作者: 拋射物 時間: 2025-3-28 18:00
Essentials of General Intelligence: The Direct Path to Artificial General Intelligence, expensive, yet significantly more capable. In addition to concentrating on general learning abilities, a fast-track approach should also seek a path of least resistance — one that capitalizes on human engineering strengths and available technology. Sometimes, this involves selecting the AI road les作者: NORM 時間: 2025-3-28 22:28 作者: 彎彎曲曲 時間: 2025-3-29 02:25 作者: venous-leak 時間: 2025-3-29 06:09
,G?del Machines: Fully Self-referential Optimal Universal Self-improvers,by Kurt G?del’s celebrated self-referential formulas (1931), such a problem solver rewrites any part of its own code as soon as it has found a proof that the rewrite is ., where the problem-dependent . and the hardware and the entire initial code are described by axioms encoded in an initial proof s作者: 性滿足 時間: 2025-3-29 08:18
,Universal Algorithmic Intelligence: A Mathematical Top→Down Approach, is known. Solomonoff’s theory of universal induction formally solves the problem of sequence prediction for unknown prior distribution. We combine both ideas and get a parameter-free theory of universal Artificial Intelligence. We give strong arguments that the resulting AIXI model is the most inte作者: 大范圍流行 時間: 2025-3-29 15:07 作者: 價值在貶值 時間: 2025-3-29 18:17
The Natural Way to Artificial Intelligence, a serious scientific basis of AI research. The “intelligent inventions” of biological evolution (unconditional reflex, habituation, conditional reflex, ...) to be modeled, conceptual background theories (the metasystem transition theory by V.F. Turchin and the theory of functional systems by P.K. A作者: A精確的 時間: 2025-3-29 21:27 作者: creditor 時間: 2025-3-30 00:13
Levels of Organization in General Intelligence,osmides; Section 2 constitutes the bulk of the paper and discusses the functional decomposition of general intelligence into a complex supersystem of interdependent internally specialized processes, and structures the description using five successive levels of functional organization: Code, sensory作者: flex336 時間: 2025-3-30 06:22
Contemporary Approaches to Artificial General Intelligence,
