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Qualitative Inductive Generalization and Confirmation
Inductive generalization is a defeasible type of inference which we use to reason from the particular to the universal. First, a number of systems...
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Meta-inductive Justification of Inductive Generalizations
The account of meta-induction (G. Schurz, Hume’s problem solved: the optimality of meta-induction, MIT Press, Cambridge, 2019) proposes a two-step...
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Qualitative Inductive Generalization and Confirmation
Inductive generalization is a defeasible type of inference which we use to reason from the particular to the universal. First, a number of systems...
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Generalizable inductive relation prediction with causal subgraph
Inductive relation prediction is an important learning task for knowledge graph reasoning that aims to infer new facts from existing ones. Previous...
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Inductive Programming
Inductive programming is a branch of program synthesis that is based on inductive inference where a recursive, declarative program is constructed...
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Inductive detection of influence operations via graph learning
Influence operations are large-scale efforts to manipulate public opinion. The rapid detection and disruption of these operations is critical for...
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Neighboring relation enhanced inductive knowledge graph link prediction via meta-learning
Inductive link prediction over knowledge graphs(KGs) aims to perform inference over a new graph with unseen entities. In contrast to transductive...
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NP4G: Network Programming for Generalization
In recent years, the development of Artificial Intelligence systems using neural network has been remarkable. However, this method has low...
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Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding
Network science has witnessed a surge in popularity, driven by the transformative power of node representation learning for diverse applications like...
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Convergence of Dynamics on Inductive Systems of Banach Spaces
Many features of physical systems, both qualitative and quantitative, become sharply defined or tractable only in some limiting situation. Examples...
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Toward Out-of-Distribution Generalization Through Inductive Biases
State-of-the-art Machine Learning systems are able to process and analyze a large amount of data but they still struggle to generalize to...
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A survey of inductive knowledge graph completion
Knowledge graph completion (KGC) can enhance the completeness of the knowledge graph (KG). Traditional transductive KGC assumes that all entities and...
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The Evolution from “I think it plus three” Towards “I think it is always plus three.” Transition from Arithmetic Generalization to Algebraic Generalization
This paper is part of broader research being conducted in the area of algebraic thinking in primary education. Our general research objective was to...
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Introducing inductive bias on vision transformers through Gram matrix similarity based regularization
In recent years, the transformer achieved remarkable results in computer vision related tasks, matching, or even surpassing those of convolutional...
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Inductive reasoning for significant concept and pattern discovery in cognitive IoT
Recent research on the Internet of Things (IoT) focuses on the insertion of cognition into its system architecture and design, which introduces a new...
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Brain-inspired learning to deeper inductive reasoning for video captioning
Video captioning requires deeply understanding video content, describing the video concisely and accurately in one sentence. Since the video usually...
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Inductive Reasoning
I devote this chapter to the application of inductive reasoning in psychotherapy sessions. In inductive reasoning by particular observations, we...
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Learning high-level visual representations from a child’s perspective without strong inductive biases
Young children develop sophisticated internal models of the world based on their visual experience. Can such models be learned from a child’s visual...
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Inductive knowledge under dominance
Inductive reasoning aims at constructing rules and models of general applicability from a restricted set of observations. Induction is a keystone in...
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Substructure-aware subgraph reasoning for inductive relation prediction
Relation prediction aims to infer the missing relations among entities in knowledge graphs, where inductive relation prediction enjoys great...
