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JournalISSN: 0218-2130

International Journal on Artificial Intelligence Tools 

World Scientific
About: International Journal on Artificial Intelligence Tools is an academic journal published by World Scientific. The journal publishes majorly in the area(s): Computer science & Artificial intelligence. It has an ISSN identifier of 0218-2130. Over the lifetime, 1442 publications have been published receiving 16131 citations. The journal is also known as: IJAIT.


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Journal ArticleDOI
TL;DR: This article presented a new keyword extraction algorithm that applies to a single document without using a corpus and showed comparable performance to tfidf without using TFIDF without using any corpus, but the degree of biases of distribution is measured by the χ 2 -measure.
Abstract: We present a new keyword extraction algorithm that applies to a single document without using a corpus. Frequent terms are extracted first, then a set of cooccurrence between each term and the frequent terms, i.e., occurrences in the same sentences, is generated. Co-occurrence distribution shows importance of a term in the documentas follows. If probability distribution of co-occurrence between term a and the frequent terms is biased to a particular subset of frequent terms, then term a is likely to be a keyword. The degree of biases of distribution is measured by the χ 2 -measure. Our algorithm shows comparable performance to tfidf without using a corpus.

869 citations

Journal ArticleDOI
TL;DR: Araucaria aims to be of use not only in pedagogical situations, but also in support of research activity, and has been designed from the outset to handle more advanced argumentation theoretic concepts such as schemes, which capture stereotypical patterns of reasoning.
Abstract: Argumentation theory involves the analysis of naturally occurring argument, and one key tool employed to this end both in the academic community and in teaching critical thinking skills to undergraduates is argument diagramming. By identifying the structure of an argument in terms of its constituents and the relationships between them, it becomes easier to critically evaluate each part of an argument in turn. The task of analysis and diagramming, however, is labor intensive and often idiosyncratic, which can make academic exchange difficult. The Araucaria system provides an interface which supports the diagramming process, and then saves the result using AML, an open standard, designed in XML, for describing argument structure. Araucaria aims to be of use not only in pedagogical situations, but also in support of research activity. As a result, it has been designed from the outset to handle more advanced argumentation theoretic concepts such as schemes, which capture stereotypical patterns of reasoning. The software is also designed to be compatible with a number of applications under development, including dialogic interaction and online corpus provision. Together, these features, combined with its platform independence and ease of use, have the potential to make Araucaria a valuable resource for the academic community.

414 citations

Journal ArticleDOI
TL;DR: This article presents the language and software environment LEADSTO that has been developed to model and simulate dynamic processes in terms of both qualitative and quantitative concepts.
Abstract: This article presents the language and software environment LEADSTO that has been developed to model and simulate dynamic processes in terms of both qualitative and quantitative concepts. The LEADSTO language is a declarative order-sorted temporal language, extended with quantitative notions like integer and real. Dynamic processes can be modelled in LEADSTO by specifying the direct temporal dependencies between state properties in successive states. Based on the LEADSTO language, a software environment was developed that performs simulations of LEADSTO specifications, generates data-files containing traces of simulation for further analysis, and constructs visual representations of traces. The approach proved its worth in a number of research projects in different domains.

260 citations

Journal ArticleDOI
TL;DR: This approach is a tabu-embedded simulated annealing algorithm which restarts a search procedure which results in a metaheuristic to solve the pickup and delivery problem with time windows.
Abstract: In this paper, we propose a metaheuristic to solve the pickup and delivery problem with time windows. Our approach is a tabu-embedded simulated annealing algorithm which restarts a search procedure...

216 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202350
2022112
202113
202052
201949
201866