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Discovery as Autonomous Learning from the Environment

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-662-12405-5_6openalex-snapshot

LEARNING BY EXPERIMENTATION: ACQUIRING AND REFINING PROBLEM-SOLVING HEURISTICS

inferredcites →https://doi.org/10.1007/bf00058926openalex-snapshot

Learning to Perceive and Act by Trial and Error

inferredcites →https://doi.org/10.1016/0004-3702(71)90010-5openalex-snapshot

Strips: A new approach to the application of theorem proving to problem solving

inferredcites →https://doi.org/10.1016/0004-3702(85)90052-9openalex-snapshot

An analytical comparison of some rule-learning programs

inferredcites →https://doi.org/10.1016/0004-3702(88)90020-3openalex-snapshot

Reasoning about action II

inferredcites →https://doi.org/10.1016/0005-1098(85)90014-7openalex-snapshot

Adaptive filtering, prediction and control

inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50022-2openalex-snapshot

Achieving Several Goals Simultaneously**The research reported herein was sponsored by the National Science Foundation under Grant GJ-36146.

inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50032-8openalex-snapshot

Correcting and Extending Domain Knowledge using Outside Guidance

inferredcites →https://doi.org/10.1016/s0019-9958(74)80007-0openalex-snapshot

Machine Intelligence. Vol. 7.

inferredcites →https://doi.org/10.1016/s0019-9958(78)90683-6openalex-snapshot

On the complexity of minimum inference of regular sets

inferredcites →https://doi.org/10.1080/01621459.1981.10477729openalex-snapshot

Projection Pursuit Regression

inferredcites →https://doi.org/10.1093/aibsbulletin/10.3.43-aopenalex-snapshot

Classic Papers in Genetics

inferredcites →https://doi.org/10.1093/bjps/44.4.641openalex-snapshot

Fitness Requirements for Scientific Theories Containing Recursive Theoretical Terms

inferredcites →https://doi.org/10.1109/18.86996openalex-snapshot

Minimum complexity density estimation

inferredcites →https://doi.org/10.1109/ijcnn.1989.118723openalex-snapshot

The truck backer-upper: an example of self-learning in neural networks

inferredcites →https://doi.org/10.1109/sfcs.1987.21openalex-snapshot

Diversity-based inference of finite automata

inferredcites →https://doi.org/10.1145/122344.122381openalex-snapshot

Integration of knowledge and method in real-world discovery

inferredcites →https://doi.org/10.1145/73007.73047openalex-snapshot

Inference of finite automata using homing sequences

inferredcites →https://doi.org/10.1145/7902.7906openalex-snapshot

Toward memory-based reasoning

inferredcites →https://doi.org/10.1146/annurev.ne.12.030189.001105openalex-snapshot

LEARNING ARM KINEMATICS AND DYNAMICS

inferredcites →https://doi.org/10.17863/cam.132164openalex-snapshot

Learning from Delayed Rewards

inferredcites →https://doi.org/10.2307/1421602openalex-snapshot

Knowledge and Cognition

inferredcites →https://doi.org/10.5860/choice.29-3935openalex-snapshot

Made-up minds: a constructivist approach to artificial intelligence

inferredcites →https://doi.org/10.5860/choice.31-1560openalex-snapshot

Learning in embedded systems

inferredcites →https://doi.org/10.5962/bhl.title.6458openalex-snapshot

Classic papers in genetics

inferredcites →https://doi.org/10.7551/mitpress/4168.001.0001openalex-snapshot

Learning in Embedded Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1006/ijhc.1997.0163openalex-snapshot

Adaptive agent tracking in real-world multiagent domains: a preliminary report

inferred← citeshttps://doi.org/10.1007/11874850_17openalex-snapshot

Learning by Knowledge Sharing in Autonomous Intelligent Systems

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Using ILP to Improve Planning in Hierarchical Reinforcement Learning

inferred← citeshttps://doi.org/10.1007/3-540-45486-1_39openalex-snapshot

Automated Discovery: A Fusion of Multidisciplinary Principles

inferred← citeshttps://doi.org/10.1007/3-540-46846-3_1openalex-snapshot

The Melting Pot of Automated Discovery: Principles for a New Science

inferred← citeshttps://doi.org/10.1007/3-540-58495-1_44openalex-snapshot

Concept hierarchies: a restricted form of knowledge derived from regularities

inferred← citeshttps://doi.org/10.1007/3-540-61532-6_43openalex-snapshot

Creating theoretical terms for non-deterministic actions

inferred← citeshttps://doi.org/10.1007/3-540-63797-4_74openalex-snapshot

A notion of correctness with theories containing theoretical terms

inferred← citeshttps://doi.org/10.1007/3-540-63912-8_87openalex-snapshot

Planning, learning, and executing in autonomous systems

inferred← citeshttps://doi.org/10.1007/978-1-4471-3238-7_14openalex-snapshot

Automated Discovery of Empirical Laws in a Science Laboratory

inferred← citeshttps://doi.org/10.1007/978-3-030-24311-1_38openalex-snapshot

Neural Network Based Approach for Learning Planning Action Models

inferred← citeshttps://doi.org/10.1007/978-3-030-41099-5_5openalex-snapshot

Self-Improvable, Self-Improving, and Self-Improvability Adaptive Instructional System

inferred← citeshttps://doi.org/10.1007/978-3-540-30132-5_151openalex-snapshot

Use of Successful Policies to Relearn for Induced States of Failure in Reinforcement Learning

inferred← citeshttps://doi.org/10.1007/978-3-540-32274-0_5openalex-snapshot

SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report

inferred← citeshttps://doi.org/10.1007/978-3-540-85928-4_10openalex-snapshot

An Experiment in Robot Discovery with ILP

inferred← citeshttps://doi.org/10.1007/978-3-642-16184-1_4openalex-snapshot

An Artificial Experimenter for Enzymatic Response Characterisation

inferred← citeshttps://doi.org/10.1007/978-3-642-21295-6_24openalex-snapshot

Incremental Learning of Relational Action Models in Noisy Environments

inferred← citeshttps://doi.org/10.1007/978-3-642-31951-8_26openalex-snapshot

Active Learning of Relational Action Models

inferred← citeshttps://doi.org/10.1007/978-3-7908-2127-7_13openalex-snapshot

Autonomous Design of Experiments for Learning by Experimentation

inferred← citeshttps://doi.org/10.1007/bf00117448openalex-snapshot

Learning concepts from sensor data of a mobile robot

inferred← citeshttps://doi.org/10.1007/bf00124612openalex-snapshot

The process of discovery

inferred← citeshttps://doi.org/10.1007/bf00124613openalex-snapshot

Creating a discoverer: Autonomous knowledge seeking agent

inferred← citeshttps://doi.org/10.1016/b978-1-55860-335-6.50019-2openalex-snapshot

Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains

inferred← citeshttps://doi.org/10.1016/j.bica.2017.07.005openalex-snapshot

A robust cognitive architecture for learning from surprises

inferred← citeshttps://doi.org/10.1016/j.bica.2018.04.005openalex-snapshot

Surprise-based learning of state representations

inferred← citeshttps://doi.org/10.1016/s0950-7051(96)01049-0openalex-snapshot

Making AI systems more creative: the IPC-model

inferred← citeshttps://doi.org/10.1017/s0269888918000188openalex-snapshot

A review of learning planning action models

inferred← citeshttps://doi.org/10.1023/a:1008134010576openalex-snapshot

An Integrated Approach of Learning, Planning, and Execution

inferred← citeshttps://doi.org/10.1023/a:1008332731824openalex-snapshot

A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making

inferred← citeshttps://doi.org/10.1023/a:1018245209731openalex-snapshot

Learning Concepts from Sensor Data of a Mobile Robot

inferred← citeshttps://doi.org/10.1037//0033-2909.125.5.524openalex-snapshot

Studies of scientific discovery: Complementary approaches and convergent findings.

inferred← citeshttps://doi.org/10.1080/08839519408945431openalex-snapshot

CAN MACHINE LEARNING SOLVE MY PROBLEM?

inferred← citeshttps://doi.org/10.1109/72.728364openalex-snapshot

Autonomous learning of sequential tasks: experiments and analyses

inferred← citeshttps://doi.org/10.1109/devlrn.2012.6400869openalex-snapshot

Learning to predict action outcomes in continuous, relational environments

inferred← citeshttps://doi.org/10.1109/grc.2007.47openalex-snapshot

Knowledge Reduction and its Rough Entropy Representation of Decision Tables in Rough Set

inferred← citeshttps://doi.org/10.1109/grc.2007.71openalex-snapshot

Autonomic Learning Model and Algorithm Based on DFL

inferred← citeshttps://doi.org/10.1109/iccar.2018.8384701openalex-snapshot

Autonomous learning of POMDP state representations from surprises

inferred← citeshttps://doi.org/10.1109/icmla.2010.73openalex-snapshot

Incremental Learning of Relational Action Rules

inferred← citeshttps://doi.org/10.1109/iros.2003.1250748openalex-snapshot

Expected perception: an anticipation-based perception-action scheme in robots

inferred← citeshttps://doi.org/10.1109/robot.2009.5152285openalex-snapshot

Automatic stimulation of experiments and learning based on prediction failure recognition

inferred← citeshttps://doi.org/10.1142/s0218488511007088openalex-snapshot

EMBODIED CONCEPT DISCOVERY THROUGH QUALITATIVE ACTION MODELS

inferred← citeshttps://doi.org/10.1145/1143844.1143896openalex-snapshot

Looping suffix tree-based inference of partially observable hidden state

inferred← citeshttps://doi.org/10.1145/545056.545134openalex-snapshot

Learning domain knowledge for teaching procedural skills

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Flexibly Instructable Agents

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Surprise-Based Learning for Autonomous Systems

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Hierarchical reinforcement learning : a hybrid approach

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Representing Qualitative Action Models for Learning in Complex Virtual Worlds

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Representing Qualitative Action Models for Learning in Complex Virtual Worlds

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AUTOMATED DISCOVERY OF EMPIRICAL LAWS

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Contingency Tables as the Foundation for Concepts, Concept Hierarchies, and Rules: The 49er System Approach

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AlphaGo, Locked Strategies, and Eco-Cognitive Openness

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Not Deep Learning but Autonomous Learning of Open Innovation for Sustainable Artificial Intelligence

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Design and Application of an Online English Self-learning Platform

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Learning to Understand by Evolving Theories

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On the Strategies to Cultivate College Students’ Autonomous English Learning Ability in the New Era

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