On a Scientific Discipline (Once) Named AI

Authors: Wolfgang Bibel

IJCAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical The present article is therefore meant to provide just an analysis of the present state of affairs rather than pointing out a concrete plan for changing directions except for some indications in view of the given possibilities.
Researcher Affiliation Academia Wolfgang Bibel Darmstadt University of Technology Bibel@gmx.net
Pseudocode No The paper does not contain any pseudocode or algorithm blocks.
Open Source Code No This is a theoretical paper and does not describe any new software or code implementation, therefore no open-source code is provided.
Open Datasets No This paper is theoretical and does not involve experimental training on datasets, thus no dataset access information is provided.
Dataset Splits No This paper is theoretical and does not involve experimental validation on datasets, thus no dataset split information is provided.
Hardware Specification No This is a theoretical paper and does not report on experiments or their computational requirements, thus no hardware specifications are provided.
Software Dependencies No This is a theoretical paper and does not describe any software implementation or dependencies.
Experiment Setup No This paper is theoretical and does not describe any experimental setup or hyperparameters.