Article

不定自然変換理論に基づく比喩理解モデルの計算論的実装の試み

2020-10-06

Abstract excerpt

<p>Machine learning techniques have realized some principal cognitive functionalities such as nonlinear generalization and causal model construction, as far as huge amount of data are available. A next frontier for cognitive modelling would be the ability of humans to transfer past knowledge to novel, ongoing experience, making analogies from the known to the unknown. Novel metaphor comprehension may be considered...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 21a70e2a-f212-5fdb-9417-6c171e6d41f8
DOI: 10.31234/osf.io/bpktw

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

不定自然変換理論に基づく比喩理解モデルの計算論的実装の試みDOI 10.31234/osf.io/bpktwRead

Form Composition: The Generative Structural Engine of Metaphors in Human CognitionSemantic proximity Read

Transformer Networks of Human Conceptual KnowledgeSemantic proximity Read

Unifying principles of generalization: past, present, and futureSemantic proximity Read

Automatic Scoring of Metaphor Creativity with Large Language ModelsSemantic proximity Read

Cognitive modeling using artificial intelligenceSemantic proximity Read

Powering up causal generalization: A model of human conceptual bootstrapping with adaptor grammarsSemantic proximity Read

Between semasiology and onomasiology: leveraging meaning-form mapping to create novel words with a predefined meaning.Semantic proximity Read

The Common Format Hypothesis: The Central Form Integrates Causal Information from Different Domains into a Common FormatSemantic proximity Read

Creating Something Different: Similarity, Contrast, and Representativeness in CategorizationSemantic proximity Read

Artificial Cognition: How Experimental Psychology Can Help Generate Explainable Artificial IntelligenceSemantic proximity Read

How Can We Characterize Human Generalization and Distinguish it from Generalization in Machines?Semantic proximity Read

How Can We Characterize Human Generalization and Distinguish it from Generalization in Machines?Semantic proximity Read