AGI 2011 - PDF Preprint Papers

AGI 2011

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AGI
2011

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The LIDA Framework as a General Tool for AGI

8 months 27 days ago

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Intelligent software agents aiming for general intelligence are likely to be exceedingly complex systems and, as such, will be difficult to implement and to customize. Frameworks h...

Javier Snaider, Ryan James McCall, Stan Franklin

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Id	Views	Title	Status
1	75	The LIDA Framework as a General Tool for AGI	claim
2	74	Coherence Progress: A Measure of Interestingness Based on Fixed Compressors	claim
3	66	Real-World Limits to Algorithmic Intelligence	claim
4	64	What Makes a Brain Smart? Reservoir Computing as an Approach for General Intelligence	claim
5	61	Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian Networks	claim
6	54	Extending Cognitive Architectures with Semantic Resources	claim
7	53	Structural Emergence in Partially Ordered Sets Is the Key to Intelligence	claim
8	52	Reasoning in Non-Axiomatic Logic: A Case Study in Medical Diagnosis	claim
9	51	The Illusion of Internal Joy	claim
10	49	Reinforcement Learning and the Bayesian Control Rule	claim
11	49	Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Processing	claim
12	48	Comparing Humans and AI Agents	claim
13	47	A Motivational System for Cognitive AI	claim
14	45	Delusion, Survival, and Intelligent Agents	claim
15	44	Information, Utility and Bounded Rationality	claim
16	44	Compression and Intelligence: Social Environments and Communication	claim
17	44	Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network	claim
18	43	An Information Theoretic Representation of Agent Dynamics as Set Intersections	claim
19	43	Three Hypotheses about the Geometry of Mind	claim
20	41	Measuring Agent Intelligence via Hierarchies of Environments	claim
21	39	Multigame Playing by Means of UCT Enhanced with Automatically Generated Evaluation Functions	claim
22	39	Generalization of Figure-Ground Segmentation from Binocular to Monocular Vision in an Embodied Biological Brain Model	claim
23	38	Nonlinear-Dynamical Attention Allocation via Information Geometry	claim
24	37	The Collection of Physical Knowledge and Its Application in Intelligent Systems	claim
25	33	Learning Problem Solving Skills from Demonstration: An Architectural Approach	claim

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