It is commonly assumed that images, whether in the world or in the head, do not have a privileged analysis into constituent parts. They are thought to lack the sort of syntactic structure necessary for representing complex contents and entering into sophisticated patterns of inference. I reject this assumption. “Image grammars” are models in computer vision that articulate systematic principles governing the form and content of images. These models are empirically credible and can be construed as literal grammars for images. Images can have rich syntactic structure, though of a markedly different form than sentences in language
<p>Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive do...
Powered by deep convolutional networks and large scale visual datasets, modern computer vision syste...
<p>Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive do...
In previous articles, the author proposed that paintings can have syntactic rules. In this article h...
Is it possible to reason by means of images? If it is, then with what kind of images can we organize...
Just as it’s possible to understand novel sentences without having heard them before, it’s possible ...
Traditionally, the structure of a language is revealed by constructing an appropriate theory of mean...
Do representational pictures have propositional contents? The current paper argues that the characte...
Vision research has made very substantial progress towards understanding how we see. It is one area ...
Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive domai...
Do representational pictures have propositional contents? The current paper argues that the characte...
Complete image ontology can be obtained by formalising a top-down meta-language wich must address al...
Schlangen D. Natural Language Semantics With Pictures: Some Language & Vision Datasets and Poten...
Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive domai...
<p>Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive do...
<p>Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive do...
Powered by deep convolutional networks and large scale visual datasets, modern computer vision syste...
<p>Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive do...
In previous articles, the author proposed that paintings can have syntactic rules. In this article h...
Is it possible to reason by means of images? If it is, then with what kind of images can we organize...
Just as it’s possible to understand novel sentences without having heard them before, it’s possible ...
Traditionally, the structure of a language is revealed by constructing an appropriate theory of mean...
Do representational pictures have propositional contents? The current paper argues that the characte...
Vision research has made very substantial progress towards understanding how we see. It is one area ...
Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive domai...
Do representational pictures have propositional contents? The current paper argues that the characte...
Complete image ontology can be obtained by formalising a top-down meta-language wich must address al...
Schlangen D. Natural Language Semantics With Pictures: Some Language & Vision Datasets and Poten...
Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive domai...
<p>Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive do...
<p>Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive do...
Powered by deep convolutional networks and large scale visual datasets, modern computer vision syste...
<p>Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive do...