-
Chapter and Conference Paper
Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks
Investigating deep learning language models has always been a significant research area due to the “black box” nature of most advanced models. With the recent advancements in pre-trained language models based ...
-
Chapter
Receptive Field Analysis for Optimizing Convolutional Neural Network Architectures Without Training
The number of layers in convolutional neural networks (CNN) is often overshot, when a convolutional neural network architecture is designed for an image-based task. These CNN-architectures are therefore unnece...
-
Chapter and Conference Paper
(Input) Size Matters for CNN Classifiers
Fully convolutional neural networks (CNNs) can process input of arbitrary size by applying a combination of downsampling and pooling. However, we find that fully convolutional image classifiers are not agnost...
-
Reference Work Entry In depth
Analogies and Analogical Reasoning in Invention
-
Chapter and Conference Paper
Correction to: Automatic Detection and Counting of Malaria Parasite-Infected Blood Cells
In the original version of the book, the name of the fourth author of Chapter 15 was spelt incorrectly, which has now been corrected and updated.
-
Chapter and Conference Paper
Automatic Detection and Counting of Malaria Parasite-Infected Blood Cells
In this paper, we present a technique for automatic detection and counting of Plasmodium vivax-infected red blood cells by means of a convolutional neural network and a feature- based counting process. Current...
-
Article
Semantics of Analogies from a Logical Perspective
A number of different approaches to model analogies and analogical reasoning in AI have been proposed, applying different knowledge representation and map** strategies. Nevertheless, analogies still seem to ...
-
Living Reference Work Entry In depth
Analogies and Analogical Reasoning in Invention
-
Chapter and Conference Paper
Structure from Motion by Artificial Neural Networks
Retrieving the 3D shape of an object from a collection of images or a video is currently realized with multiple view geometry algorithms, most commonly Structure from Motion (SfM) methods. With the aim of intr...
-
Chapter and Conference Paper
What Is a Derived Signature Morphism?
The notion of signature morphism is basic to the theory of institutions. It provides a powerful primitive for the study of specifications, their modularity and their relations in an abstract setting. The notio...
-
Chapter and Conference Paper
Algorithmic Aspects of Theory Blending
In Cognitive Science, conceptual blending has been proposed as an important cognitive mechanism that facilitates the creation of new concepts and ideas by constrained combination of available knowledge. It the...
-
Chapter
Heuristic-Driven Theory Projection: An Overview
This chapter provides a concise overview of Heuristic-Driven Theory Projection (HDTP), a powerful framework for computing analogies. The chapter attempts to illuminate HDTP from several different perspectives....
-
Chapter and Conference Paper
Utilizing Cognitive Mechanisms in the Analysis of Counterfactual Conditionals by AGI Systems
We give a crisp overview of the problem of analyzing counterfactual conditionals, along with a proposal of how an artificial system can overcome its challenges, by operationally utilizing computationally-plaus...
-
Chapter
Theory Blending as a Framework for Creativity in Systems for General Intelligence
Being creative is a central property of humans in solving problems, adapting to new states of affairs, applying successful strategies in previously unseen situations, or coming up with new conceptualizations. ...
-
Chapter and Conference Paper
Rationality and General Intelligence
Humans are without any doubts the prototypical example of agents that can hold rational beliefs and can show rational behavior. If an AGI system is intended to model the full breadth of human-level intelligenc...
-
Chapter and Conference Paper
Refinements of Restricted Higher-Order Anti-Unification for Heuristic-Driven Theory Projection
Empirical research supports the belief that structural commonalities between two domains are the main guidance for the construction of analogies. Restricted higher-order anti-unification has been shown suitabl...
-
Chapter and Conference Paper
Spatial Cognition of Geometric Figures in the Context of Proportional Analogies
The cognition of spatial objects differs among people and is highly influenced by the context in which a spatial object is perceived. We investigated experimentally how humans perceive geometric figures in geo...
-
Chapter and Conference Paper
Re-representation in a Logic-Based Model for Analogy Making
Analogical reasoning plays an important role for cognitively demanding tasks. A major challenge in computing analogies concerns the problem of adapting the representation of the domains in a way that the analo...
-
Chapter and Conference Paper
Restricted Higher-Order Anti-Unification for Analogy Making
Anti-unification has often be used as a tool for analogy making. But while first-order anti-unification is too simple for many applications, general higher-order anti-unification is too complex and leads into ...
-
Chapter and Conference Paper
Structure-Sensitive Learning of Text Types
In this paper, we discuss the structure based classification of documents based on their logical document structure, i.e., their DOM trees. We describe a method using predefined structural features and also fo...
