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Introduction: Cognitive Autonomy in Machine Discovery

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What this work says

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

inferredcites →https://doi.org/10.1001/archinte.1963.03860020198043openalex-snapshot

Contemporary Approaches to Creative Thinking.

inferredcites →https://doi.org/10.1007/bf00114265openalex-snapshot

Knowledge Acquisition Via Incremental Conceptual Clustering

inferredcites →https://doi.org/10.1007/bf00114780openalex-snapshot

Conflict Resolution as Discovery in Particle Physics

inferredcites →https://doi.org/10.1016/0004-3702(84)90038-9openalex-snapshot

Qualitative process theory

inferredcites →https://doi.org/10.1016/0004-3702(94)90018-3openalex-snapshot

Conjecturing hidden entities by means of simplicity and conservation laws

inferredcites →https://doi.org/10.1016/0364-0213(90)90005-hopenalex-snapshot

Laboratory Replication of Scientific Discovery Processes

inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50026-xopenalex-snapshot

Scientific Theory Formation Through Analogical Inference

inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50041-4openalex-snapshot

The Interdependencies of Theory Formation, Revision, and Experimentation

inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50076-xopenalex-snapshot

USING DOMAIN KNOWLEDGE TO AID SCIENTIFIC THEORY REVISION

inferredcites →https://doi.org/10.1145/130836.1063179openalex-snapshot

Book review: Computational Models of Scientific Discovery and Theory Formation Edited by Jeff Shrager & Pat Langley (Morgan Kaufmann San Mateo, CA, 1990)

inferredcites →https://doi.org/10.1207/s15516709cog1202_1openalex-snapshot

The Processes of Scientific Discovery: The Strategy of Experimentation

inferredcites →https://doi.org/10.21236/ada202882openalex-snapshot

The Interdependencies of Theory Formation, Revision, and Experimentation

inferredcites →https://doi.org/10.21236/ada465743openalex-snapshot

Qualitative Process Theory

inferredcites →https://doi.org/10.7551/mitpress/5782.003.0013openalex-snapshot

Scientific Discovery

What points at this work

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

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Automated Discovery: A Fusion of Multidisciplinary Principles

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

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The GLS discovery system: Its goal, architecture and current results

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An organized society of autonomous knowledge discovery agents

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On meta levels of an organized society of KDD agents

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Machine learning for information extraction

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A way of increasing both autonomy and versatility of a KDD system

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An Overview of Knowledge Discovery in Databases: Recent Progress and Challenges

inferred← citeshttps://doi.org/10.1007/978-3-031-69300-7_11openalex-snapshot

Three Eras of Computational Logics of Discovery: Deductive Past, Inductive Present, and Abductive Future

inferred← citeshttps://doi.org/10.1007/978-3-540-24674-9_18openalex-snapshot

Learning In-between Concept Descriptions Using Iterative Induction

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Creating a Discoverer: Autonomous Knowledge Seeking Agent

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Creating a discoverer: Autonomous knowledge seeking agent

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Guest editor's introduction: Knowledge discovery in databases ? from research to applications

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Handling KDD process changes by incremental replanning

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Machine invention systems: a (r)evolution of the invention process?

inferred← citeshttps://doi.org/10.1007/s10115-003-0100-2openalex-snapshot

An Agenda- and Justification-Based Framework for Discovery Systems

inferred← citeshttps://doi.org/10.1016/0020-0255(91)90079-aopenalex-snapshot

Automated scientific discovery

inferred← citeshttps://doi.org/10.1016/b978-012443880-4/50073-9openalex-snapshot

Automatic Knowledge Discovery in Larger Scale Knowledge—Data Bases

inferred← citeshttps://doi.org/10.1016/b978-1-55860-335-6.50014-3openalex-snapshot

The Generate, Test, and Explain Discovery System Architecture

inferred← citeshttps://doi.org/10.1039/d0sc01101kopenalex-snapshot

Autonomous intelligent agents for accelerated materials discovery

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Closing the loop: an agenda- and justification-based framework for selecting the next discovery task to perform

inferred← citeshttps://doi.org/10.1109/icdm.2001.989544openalex-snapshot

Closing the loop: heuristics for autonomous discovery

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Handling KDD process iteration by integration of planning and controlling

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Using relevant reasoning to solve the relevancy problem in knowledge discovery in databases

inferred← citeshttps://doi.org/10.1142/s0218001401000976openalex-snapshot

DYNAMICALLY ORGANIZING KDD PROCESSES

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Toward automated discovery in the biological sciences

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GPR: A Data Mining Tool Using Genetic Programming

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Lernen qualitativer Merkmale aus numerischen Robotersensordaten

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Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach

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THE EMERGENCE OF ARTIFICIAL CONSCIOUSNESS AND ITS IMPORTANCE TO REACH THE TECHNOLOGICAL SINGULARITY

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