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Wyszukujesz frazę "Indurkhya, B." wg kryterium: Autor


Wyświetlanie 1-4 z 4
Tytuł:
A blackboard system for generating poetry
Autorzy:
Misztal-Radecka, J.
Indurkhya, B.
Powiązania:
https://bibliotekanauki.pl/articles/305325.pdf
Data publikacji:
2016
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
poetry generation
computational creativity
natural language processing
multi-agent system
Opis:
We present a system to generate poems based on the information extracted from input text such as blog posts. Our design uses the blackboard architecture, in which independent specialized modules cooperate during the generation process by sharing a common workspace known as the blackboard. Each module is responsible for a particular task while generating poetry. Our implementation incorporates modules that retrieve information from the input text, generate new ideas, or select the best partial solutions. These distinct modules (experts) are implemented as diverse computational units that make use of lexical resources, grammar models, sentiment-analyzing tools, and languageprocessing algorithms. A control module is responsible for scheduling actions on the blackboard. We argue that the blackboard architecture is a promising way of simulating creative processes because of its flexibility and compliance with the Global Workspace Theory of mind. The main contribution of this work is the design and prototype implementation of an extensible platform for a poetry-generating system that may be further extended by incorporating new experts as well as some existing poetrygenerating systems as parts of the blackboard architecture. We claim that this design provides a powerful tool for combining many of the existing efforts in the domain of automatic poetry generation.
Źródło:
Computer Science; 2016, 17 (2); 265-294
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-agent blackboard architecture for supporting legal decision making
Autorzy:
Szymański, Ł.
Śnieżyński, B.
Indurkhya, B.
Powiązania:
https://bibliotekanauki.pl/articles/305547.pdf
Data publikacji:
2018
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
agent-based legal decision-making model
blackboard architecture
legal decision support
Opis:
Our research objective is to design a system to support legal decision making using the multi-agent blackboard architecture. Agents represent experts that may apply various knowledge-processing algorithms and knowledge sources. Experts cooperate with each other using the blackboard to store facts about a current case. Knowledge is represented as a set of rules. The inference process is based on bottom-up control (forward chaining). The goal of our system is to find rationales for arguments that support different decisions for a given case by using precedents and statutory knowledge. Our system also uses top- -down knowledge from statutes and precedents to interactively query the user for additional facts when such facts could affect the judgment. The rationales for various judgments are presented to the user, who may choose the most appropriate one. We present two example scenarios in Polish traffic law to illustrate the features of our system. Based on these results, we argue that the blackboard architecture provides an effective approach to modeling situations where a multitude of possibly conflicting factors must be taken into account in the decision making.
Źródło:
Computer Science; 2018, 19 (4); 457--477
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A study on the role of non-hyperlink text on web navigation
Autorzy:
Karanam, S.
Oostendorp Van, H.
Indurkhya, B.
Powiązania:
https://bibliotekanauki.pl/articles/305399.pdf
Data publikacji:
2012
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
web-navigation
main-content
text
semantics
Opis:
Cognitive models of web navigation have been used for evaluating websites and predicting user navigation behavior. Currently they predict the correct hyperlink by using information from the hyperlink text alone and ignore all other textual information on a webpage. The validity of this assumption is examined by investigating the role of non-hyperlink text on user navigation behavior. In the first experiment, we created two versions of a website by removing the non-hyperlink text from it. We found that there was no significant effect of non-hyperlink text on the user navigation behavior. Participants were equally accurate, selected the same set of pages to visit and spent the same amount of time on that common set with or without non-hyperlink text. This result validates the assumptions of those models of user-navigation behavior that consider information from the hyperlink text only. However, in a followup experiment, we included high-relevance and low-relevance pictures on the website, and repeated the experiment with and without non-hyperlink text. We found that participants were more accurate in the presence of non-hyperlink text than without it. This result suggests that the presence of pictures might prime the users to pay attention to non-hyperlink text, which increases the task accuracy.
Źródło:
Computer Science; 2012, 13 (3); 5-22
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Emergence of population structure in socio-cognitively inspired ant colony optimization
Autorzy:
Byrski, A.
Świderska, E.
Łasisz, J.
Kisiel-Dorohinicki, M.
Lenaerts, T.
Samson, D.
Indurkhya, B.
Powiązania:
https://bibliotekanauki.pl/articles/305756.pdf
Data publikacji:
2018
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
ant colony optimization
socio-cognitive systems
discrete optimization
emergence
Opis:
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cognitive inspirations, turned out to generate interesting results compared to classic ACO. Even though it does not always find better solutions to the considered problems, it usually finds sub-optimal solutions usually. Moreover, instead of a trial-and-error approach to configure the parameters of the ant species in the population, in our approach, the actual structure of the population emerges from predefined species-to-species ant migration strategies. Experimental results of our approach are compared against classic ACO and selected socio-cognitive versions of this algorithm.
Źródło:
Computer Science; 2018, 19 (1); 81-98
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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