標題: Titlebook: Artificial General Intelligence; 9th International Co Bas Steunebrink,Pei Wang,Ben Goertzel Conference proceedings 2016 Springer Internatio [打印本頁] 作者: negation 時間: 2025-3-21 18:40
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: STEER 時間: 2025-3-22 00:04
Micromechanics of Brittle Fracture,beforehand. A . would enable addressing tasks at the . level, bypassing their specifics, providing the appropriate formalization and classification of tasks, environments, and their parameters, resulting in more rigorous ways of measuring, comparing, and evaluating intelligent behavior. Even modest 作者: Digitalis 時間: 2025-3-22 02:20 作者: 不怕任性 時間: 2025-3-22 05:42 作者: Minatory 時間: 2025-3-22 08:53
Micromechanics of Brittle Fracture,fely and reliably, even on AGIs with unknown motivations and capabilities that could be dangerous. We identify requirements for AGI containers, available mechanisms, and weaknesses that need to be addressed.作者: 勛章 時間: 2025-3-22 16:12
Griffith Theory of Brittle Failure,ble of constructing sentences with complex grammar, generating proper question-answer patterns, correctly resolving and generating anaphora with coordinated deictic gestures, producing efficient turntaking, and following the structure of interviews, without any information on this being provided up front.作者: 該得 時間: 2025-3-22 20:01 作者: 使聲音降低 時間: 2025-3-23 00:31 作者: 金哥占卜者 時間: 2025-3-23 03:50
The AGI Containment Problem,fely and reliably, even on AGIs with unknown motivations and capabilities that could be dangerous. We identify requirements for AGI containers, available mechanisms, and weaknesses that need to be addressed.作者: 貿(mào)易 時間: 2025-3-23 09:33
About Understanding,ble of constructing sentences with complex grammar, generating proper question-answer patterns, correctly resolving and generating anaphora with coordinated deictic gestures, producing efficient turntaking, and following the structure of interviews, without any information on this being provided up front.作者: 極小 時間: 2025-3-23 13:24
Embracing Inference as Action: A Step Towards Human-Level Reasoning,o more additional features: ., which are a sort of frame in which the reasoning of an individual agent can be simulated, and ., which allow our reasoner to carry out operations beyond the limits of many current systems. We explain how these features are achieved and implemented in the MATR reasoning system, and discuss their consequences.作者: Bricklayer 時間: 2025-3-23 15:28
Conference proceedings 2016pers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind inSelf a certain sense..作者: exercise 時間: 2025-3-23 19:20
3D Rover Localization in Airborne Ladar Data The VRL setup allows us to remove the incentive to wirehead by placing a constraint on the agent’s actions. The constraint is defined in terms of the agent’s belief distributions, and does not require an explicit specification of which actions constitute wireheading.作者: 煩人 時間: 2025-3-23 22:21 作者: 遺留之物 時間: 2025-3-24 03:45 作者: 根除 時間: 2025-3-24 09:30
Friction and Sliding Phenomena,veral meta-rules that govern the development of its network-based memory structure. The decision making mechanism operates under time constraints and combines symbolic reasoning, aimed at compressing information, with sub-symbolic reasoning, aimed at planning.作者: 急急忙忙 時間: 2025-3-24 12:10 作者: Self-Help-Group 時間: 2025-3-24 17:19
Imitation Learning as Cause-Effect Reasoning,hysical robot, which successfully generalizes skills involving bimanual manipulation of composite objects in 3D. These results suggest that cause-effect reasoning is an effective unifying principle for cognitive-level imitation learning.作者: Blazon 時間: 2025-3-24 20:15
Real-Time GA-Based Probabilistic Programming in Application to Robot Control,ries are simply executed in parallel with plan execution by a robot meaning that they continuously optimize dynamically varying objective functions tracking their optima. Experiments with the NAO robot showed that replanning can be naturally done within this approach without developing special plan recovery methods.作者: bioavailability 時間: 2025-3-25 01:56 作者: diabetes 時間: 2025-3-25 05:44 作者: 奴才 時間: 2025-3-25 10:39
Kai O. Arras,Nicola Tomatis,Roland Siegwartents like AIXI, and prove a number of related theorems about their behaviour. Notable discoveries include that agent behaviour can change radically under positive linear transformations of the reward signal (from suicidal to dogmatically self-preserving), and that the agent’s posterior belief that it will survive increases over time.作者: Verify 時間: 2025-3-25 13:05 作者: Macronutrients 時間: 2025-3-25 16:48
Micromechanics of Brittle Fracture,d overcomes the difficulties exposed in the critique. Open-ended intelligence is developed as an abstraction of the process of cognitive development so its application can be extended to general agents and systems. We show how open-ended intelligence can be framed in terms of a distributed, self-organizing scalable network of interacting elements.作者: Aggrandize 時間: 2025-3-25 23:39
Griffith Theory of Brittle Failure,proof-theoretical issues, . systems force us to consider their education in order to control a system’s . towards a robust and trustworthy, benevolent and well-behaved agent. We discuss what a practical instance of . looks like and build towards a “test theory” that allows us to gauge an agent’s level of understanding of educational material.作者: bisphosphonate 時間: 2025-3-26 02:57
On the Paradigms of Quantum Gravity 2016,e reasoning mechanism combines axiomatic reasoning for drawing conclusions inside the domains, with analogical reasoning for transferring knowledge from one domain?to another. Thus the reasoning processes may use analogies to jump back and forth between domains.作者: 辯論的終結(jié) 時間: 2025-3-26 04:31
Death and Suicide in Universal Artificial Intelligence,ents like AIXI, and prove a number of related theorems about their behaviour. Notable discoveries include that agent behaviour can change radically under positive linear transformations of the reward signal (from suicidal to dogmatically self-preserving), and that the agent’s posterior belief that it will survive increases over time.作者: 火海 時間: 2025-3-26 08:49 作者: Nonthreatening 時間: 2025-3-26 16:23 作者: 漫步 時間: 2025-3-26 20:37 作者: hegemony 時間: 2025-3-26 22:04
Integrating Axiomatic and Analogical Reasoning,e reasoning mechanism combines axiomatic reasoning for drawing conclusions inside the domains, with analogical reasoning for transferring knowledge from one domain?to another. Thus the reasoning processes may use analogies to jump back and forth between domains.作者: CLASH 時間: 2025-3-27 03:05
0302-9743 ntelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016...The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI research作者: 破布 時間: 2025-3-27 06:38 作者: 子女 時間: 2025-3-27 09:51 作者: conquer 時間: 2025-3-27 15:25 作者: Tempor 時間: 2025-3-27 18:15
Different Conceptions of Learning: Function Approximation vs. Self-Organization, learning community, while the latter is exemplified by the AGI system NARS. This paper describes the learning mechanism of NARS, and contrasts it with canonical machine learning algorithms. It is concluded that inferential learning is arguably more fundamental for AGI systems.作者: FLIRT 時間: 2025-3-28 00:23 作者: 詩集 時間: 2025-3-28 05:51
3D Rover Localization in Airborne Ladar Datanot work well for generally intelligent agents, as RL agents are incentivised to shortcut the reward sensor for maximum reward – the so-called .. In this paper we suggest an alternative to RL called value reinforcement learning (VRL). In VRL, agents use the reward signal to learn a utility function.作者: 粗俗人 時間: 2025-3-28 10:00
Kai O. Arras,Nicola Tomatis,Roland Siegwartlogy and economics. AIXI is a universal solution to the RL problem; it can learn any computable environment. A technical subtlety of AIXI is that it is defined using a mixture over . that need not sum to 1, rather than over proper probability measures. In this work we argue that the shortfall of a s作者: tinnitus 時間: 2025-3-28 10:58
M. R. Sirouspour,S. E. Salcudeanonceptual jump size measures in AIT to stochastic problems, and physical measures that involve volume and energy. We introduce a graphical model of computational complexity that we believe to be appropriate for intelligent machines. We show several asymptotic relations between energy, logical depth 作者: 大猩猩 時間: 2025-3-28 14:34
Micromechanics of Brittle Fracture,in the ontological roots of the concept of intelligence. We propose a paradigm shift from intelligence perceived as a competence of individual agents defined in relation to an . given problem or a goal, to intelligence perceived as a formative process of self-organization by which intelligent agents作者: asthma 時間: 2025-3-28 22:23 作者: 尊敬 時間: 2025-3-29 02:42 作者: precede 時間: 2025-3-29 06:50 作者: Asymptomatic 時間: 2025-3-29 10:35 作者: Amorous 時間: 2025-3-29 14:15 作者: Ingest 時間: 2025-3-29 16:50
Griffith Theory of Brittle Failure,rstanding has been fielded as of yet in artificial intelligence (AI), and references on this subject are far from abundant in the research literature. We contend that the ability of an artificial system to autonomously deepen its understanding of phenomena in its surroundings must be part of any sys作者: Antagonist 時間: 2025-3-29 23:24
Micromechanics of Brittle Fracture,to perform and automatize tasks we deem useful. In other fields of engineering theoretical foundations allow thorough evaluation of designs by methodical manipulation of well understood parameters with a known role and importance; this allows an aeronautics engineer, for instance, to systematically 作者: Nonflammable 時間: 2025-3-30 02:00 作者: Interferons 時間: 2025-3-30 07:25
Micromechanics of Brittle Fracture,nstances, and . that organizes various aspects of the system according to experience. The former is how “l(fā)earning” is often interpreted in the machine learning community, while the latter is exemplified by the AGI system NARS. This paper describes the learning mechanism of NARS, and contrasts it wit作者: Abutment 時間: 2025-3-30 10:36
Friction and Sliding Phenomena, that emotion is necessary for an AGI system that has to work with insufficient knowledge and resources. This design is also compared to the other approaches in AGI research, as well as to the relevant aspects in the human brain.作者: 治愈 時間: 2025-3-30 14:11 作者: SUE 時間: 2025-3-30 17:33 作者: paradigm 時間: 2025-3-30 23:26 作者: 尖牙 時間: 2025-3-31 04:56
Artificial General Intelligence978-3-319-41649-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Resign 時間: 2025-3-31 08:25
Friction and Sliding Phenomena,d reasoning into them. This has led to a rethinking of what goes on in its graphical architecture, with results that include a straightforward extension to feedforward neural networks (although not yet with learning).作者: ventilate 時間: 2025-3-31 13:10
Friction and Sliding Phenomena, that emotion is necessary for an AGI system that has to work with insufficient knowledge and resources. This design is also compared to the other approaches in AGI research, as well as to the relevant aspects in the human brain.作者: FLAGR 時間: 2025-3-31 16:31
Friction and Sliding Phenomena,This paper describes the implementation of a Non-Axiomatic Reasoning System (NARS), a unified AGI system which works under the assumption of insufficient knowledge and resources (AIKR). The system’s architecture, memory structure, inference engine, and control mechanism are described in detail.作者: 食料 時間: 2025-3-31 18:48 作者: limber 時間: 2025-3-31 21:43
,Rethinking Sigma’s Graphical Architecture: An Extension to Neural Networks,d reasoning into them. This has led to a rethinking of what goes on in its graphical architecture, with results that include a straightforward extension to feedforward neural networks (although not yet with learning).作者: 逃避責任 時間: 2025-4-1 02:56 作者: 纖細 時間: 2025-4-1 06:06 作者: Decibel 時間: 2025-4-1 10:09
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162033.jpg
