Titlebook: Artificial General Intelligence; 5th International Co Joscha Bach,Ben Goertzel,Matthew Iklé Conference proceedings 2012 Springer-Verlag Ber

exterminate

书目名称Artificial General Intelligence影响因子(影响力)




书目名称Artificial General Intelligence影响因子(影响力)学科排名




书目名称Artificial General Intelligence网络公开度




书目名称Artificial General Intelligence网络公开度学科排名




书目名称Artificial General Intelligence被引频次




书目名称Artificial General Intelligence被引频次学科排名




书目名称Artificial General Intelligence年度引用




书目名称Artificial General Intelligence年度引用学科排名




书目名称Artificial General Intelligence读者反馈




书目名称Artificial General Intelligence读者反馈学科排名

禁令

An Extensible Language Interfacefor Robot Manipulation,form fetch-and-carry tasks, potentially for use in an eldercare context. By “extensible” we mean that the robot is able to learn new nouns and verbs by simple interaction with its user. An associated video [1] illustrates the range of phenomena handled by our implemented real-time system.

行为

Noisy Reasoners: Errors of Judgement in Humans and AIs,cesses. The main result is a demonstration that systematic, directed biases naturally arise if there is random noise in a reasoning process that follows the normative rules of probability theory. A number of reliable errors in human reasoning under uncertainty can be explained as the consequence of

Institution

2012: The Connectome, WBE and AGI,e brain emulation keep all the structural details of the brain in order to achieve all of the functions of the biological brain? While a computer program could easily be emulated in order to achieve the same specified function, the human brain is a special case because of its enormously complex func

宣誓书

A Representation Theorem for Decisions about Causal Models,resent a representation theorem governing the integration of causal models with decision theory. This theorem puts formal bounds on the applicability of the ., a normative theory of decision counterfactuals that has previously been argued on . and practical grounds, as well as by comparison to theor

Liability

值得赞赏

Perception Processing for General Intelligence: Bridging the Symbolic/Subsymbolic Gap,ent to human-level artificial general intelligence. One approach to bridging this gap is hybridization – for instance, incorporation of a subsymbolic system and a symbolic system into a integrative cognitive architecture. Here we present a detailed design for an implementation of this approach, via

Proclaim

On Attention Mechanisms for AGI Architectures:A Design Proposal,have time limits, and managing these is a key part of the role of intelligence. In the domain of intelligent systems the management of system resources is typically called “attention”. Attention mechanisms are necessary because all moderately complex environments are likely to be the source of vastl

indecipherable

A Framework for Representing Action Meaning in Artificial Systems via Force Dimensions,social signals that allow us to predict the actions of others (intent) as well as the physical and social consequences of our actions. What’s more, we are able to talk about what we (and others) are doing. We present a framework for action recognition and communication that is based on access to the

惰性气体