AGI 2015 - PDF Preprint Papers

AGI 2015

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AGI
2015

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Are There Deep Reasons Underlying the Pathologies of Today's Deep Learning Algorithms?

8 years 15 days ago

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Abstract. Some currently popular and successful deep learning architectures display certain pathological behaviors (e.g. conﬁdently classifying random data as belonging to a fami...

Ben Goertzel

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Id	Views	Title	Status

1	35	Are There Deep Reasons Underlying the Pathologies of Today's Deep Learning Algorithms?	claim
2	35	Bounded Cognitive Resources and Arbitrary Domains	claim
3	34	Anchoring Knowledge in Interaction: Towards a Harmonic Subsymbolic/Symbolic Framework and Architecture of Computational Cognition	claim
4	31	Can Machines Learn Logics?	claim
5	29	Assumptions of Decision-Making Models in AGI	claim
6	25	Issues in Temporal and Causal Inference	claim
7	24	Plan Recovery in Reactive HTNs Using Symbolic Planning	claim
8	23	Anytime Bounded Rationality	claim
9	23	Analysis of Types of Self-Improving Software	claim
10	22	Toward Tractable Universal Induction Through Recursive Program Learning	claim
11	21	Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages	claim
12	21	Modeling Motivation in MicroPsi 2	claim
13	20	Comparing Computer Models Solving Number Series Problems	claim
14	19	Decision-Making During Language Understanding by Intelligent Agents	claim
15	18	Safe Baby AGI	claim
16	17	Observation, Communication and Intelligence in Agent-Based Systems	claim
17	16	Optimization Framework with Minimum Description Length Principle for Probabilistic Programming	claim
18	16	Inferring Human Values for Safe AGI Design	claim
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20	15	A New View on Grid Cells Beyond the Cognitive Map Hypothesis	claim
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23	15	Towards Human-Level Inductive Functional Programming	claim
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27	13	Using Localization and Factorization to Reduce the Complexity of Reinforcement Learning	claim
28	13	From Specialized Syntax to General Logic: The Case of Comparatives	claim

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