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A framework to model norm dynamics in answer set programming

A framework to model norm dynamics in answer set programming

引用

2nd Multi-Agent Logics, Languages, and Organisations Federated Workshops, MALLOW 2009

作者： Panagiotidi, Sofia Nieves, Juan Carlos Vázquez-Salceda, Javier Knowledge Engineering Machine Learning Group Universitat Politecnica de Catalunya Spain

This paper presents ongoing work in the formal definition and implementation of a normative framework in Answer Set Programming. The framework uses as basis an existing action language and enriches it with a formal definition of norms (implementing standard deontic operators such as obligations and permissions). Properties of a norm's lifecycle such as active, inactive, violated are specified. We argue that such properties can serve as a reasoning basis for the agent's cycle. A partial implementation of the framework is then presented. An example is used in order to illustrate the application of the principles presented.

关键词： Logic programming

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Towards a framework for the analysis of provenance-aware norms in complex networks

Towards a framework for the analysis of provenance-aware nor...

引用

1st International Conference on Agreement Technologies, AT 2012

作者： Felipe, Luis Oliva Alvarez-Napagao, Sergio Vázquez-Salceda, Javier Knowledge Engineering and Machine Learning Group Universitat Politècnica de Catalunya Spain

Systemic analysis of dynamics in complex networks has allured interest from different fields. Norms are a mechanism that can be useful to govern or guide the behavior of agents in such scenarios. Such effects of norms can be analyzed in different terms, such as emergence, spread, equilibrium oscillations and stability. In this paper, we present an analysis of the life-cycle of deontic norms in scale-free networks, with special focus on the long-term effects of different agents' personalities and their structural properties. Our approach combines provenance-aware monitoring traces and the analysis of the dynamics emerged in the relations between agents by means of complex network representations.

关键词： Complex networks

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Providing intelligent decision support systems with flexible Data-Intensive Case-Based Reasoning

Providing intelligent decision support systems with flexible...

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5th Biennial Conference of the International Environmental Modelling and Software Society: Modelling for Environment's Sake, iEMSs 2010

作者： Villanueva, Beatriz Sevilla Sànchez-Marrè, Miquel Knowledge Engineering Machine Learning Group Universitat Politècnica de Catalunya - BarcelonaTech Barcelona Spain

ISBN: (纸本)9788890357411

In this paper we present a flexible CBR shell for Data-Intensive Case-Based Reasoning Systems which is fully integrated in an Intelligent Data Analysis Tool entitled GESCONDA. The main subgoal of the developed tool is to create a CBR Shell where no fixed domain exists and where letting the expert/user creates (models) his/her own domain. From an abstract point of view, the definition of the CBR can be seen as a methodology composed by four phases and each phase offers different ways to be solved. Then, since the CBR shell is integrated in GESCONDA, it inherits all its functionalities which cover the whole knowledge discovery and data mining process and also, CBR can complement its phases with this functionality. As a result, GESCONDA becomes an intelligent decision support tool which encompasses a number of advantages including domain independence, incremental learning, platform independence and generality.

关键词： Data handling

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Case-based reasoning applied to textile industry processes

Case-based reasoning applied to textile industry processes

引用

20th International Conference on Case-Based Reasoning, ICCBR 2012

作者： Sevilla Villanueva, Beatriz Sànchez-Marrè, Miquel Knowledge Engineering Machine Learning Group Universitat Politècnica de Catalunya-BarcelonaTech Barcelona Spain

ISBN: (纸本)9783642329852

This paper describes an innovative usage of Case-Based Reasoning to reduce the high cost derived from correctly setting the textile machinery within the framework of European MODSIMTex project. Furthermore, this system is capable of dealing with flexible queries, allowing to relax or restrict the searches in the case base. The paper discusses the ideas, design, implementation and an experimental evaluation of the CBR applied to the spinning scenario included in the project framework. © 2012 Springer-Verlag.

关键词： Textile industry

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USE: A concept-based recommendation system to support creative search

USE: A concept-based recommendation system to support creati...

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2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009

作者： Lopes, J. Sousa Alvarez-Napagao, S. Vázquez-Salceda, J. KEMLg - Knowledge Engineering and Machine Learning Group UPC - Universitat Politècnica de Catalunya Barcelona Spain

ISBN: (纸本)9780769538013

Semiotics is a field on which research in Computer Science methodologies has focused, mainly concerning Syntax and Semantics. These methodologies, however, are lacking some flexibility for the continuously evolving web community, in which the knowledge is classified with tags rather than with ontologies. In this paper we propose a system for the recommendation of tagged pictures obtained from the Web. The system, driven by user feedback, executes an abductive reasoning (based on WordNet synset semantic relations) that is able to iteratively lead to new concepts which progressively represent the cognitive creative user state. © 2009 IEEE.

关键词： Semantics

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Argument schemes and critical questions for heterogeneous agents to argue over the viability of a human organ for transplantation

Argument schemes and critical questions for heterogeneous ag...

引用

2006 AAAI Spring Symposium

作者： Tolchinsky, Pancho Modgil, Sanjay Cortés, Ulises Knowledge Engineering and Machine Learning Group Technical University of Catalonia Advanced Computation Lab. Cancer Research UK

ISBN: (纸本)1577352629

In this paper we present a framework in which heterogeneous agents can argue over the viability of a human organ for transplantation. This collaborative decision making process among human and/or software agents is mediated by a software agent that uses argument schemes and critical questions to direct the deliberation, and determines a final evaluation of the given arguments. The proposed model is framed in the CARREL System, an agent-based organization designed to improve the overall transplant process. In particular, we believe that the use of argumentation has the potential to increase the number of human organs that current selection processes make available for transplantation. Copyright © 2006, American Association for Artificial Intelligence (***). All rights reserved.

关键词： Transplantation (surgical)

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Intelligent Assistant for Multivariant Analysis 26

Intelligent Assistant for Multivariant Analysis

引用

26th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2024

作者： Angerri, Xavier Delgado, Oscar Gibert, Karina Knowledge Engineering and Machine Learning Group Intelligent Data Science and Artificial Intelligence Research Center Universtitat Politècnica de Catalunya Spain

ISBN: (纸本)9781643685434

When a knowledge Discovery from Data (KDD) (Fayyad, Piatetsky-Shapiro, & Smyth, 1996) process is being applied to get knowledge, several methods could be used (Gibert, et al., 2018). A simple and fast way to obtain preliminary insights from data before using KDD models is by generating a basic descriptive analysis. It is one of the most popular ways to describe experimental data and should be the beginning of all data projects. Nevertheless some of the main knowledge that can be extracted in a descriptive analysis is hidden due to underlying multivariate structures which could be elicited through multivariate analysis techniques. Moreover, the domain expert is key for a proper interpretation of descriptive results. At the same time, there is a lack of automatic reporting techniques that can report and help in the interpretation of complex patterns and the use of advanced multivariate techniques. This paper shows the tool developed to generate automatic interpretation of Multiple Correspondence Analysis (MCA) and Principal Components Analysis (PCA) by using RMarkdown. This tool generates a Word document which contains the automatic interpretation of the results, built on the basis of regular expressions ellaborating over the R analytical outputs (either numerical or graphical results). The proposal is being applied with some real data, like INSESS database on social vulnerabilities of the Catalan population. In conclusion, the developed tool contributes to facilitate the factorial methods results, avoiding the misinterpretation of the results and the involuntary skipping of conclusions due to the large amount of knowledge that can be extracted from a complete factorial analysis. Also, this software enables non-expert users to read multivariate analysis results in a friendly way. Moreover, this tool saves time in the interpretation step and is a basis to support the expert to start the report with the results, even the output of the software could become the report or

关键词： automatic interpretation Automatic reporting explainability

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From Clustering to Intelligent Decision Support System: An Application to 3D Printing 26

From Clustering to Intelligent Decision Support System: An A...

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26th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2024

作者： Karna, Ashutosh Gibert, Karina Knowledge Engineering and Machine Learning Group Intelligent Data Science and Artificial Intelligence Research Centre Universitat Politècnica de Catalunya Barcelona Spain

ISBN: (纸本)9781643685434

This study focuses on developing an intelligent decision support system (IDSS) that helps a human operator make data-driven decisions. To put IDSS in production, it is necessary to develop two additional components: one oriented to recognize the cluster of new data and the other a knowledge-based resulting from the interpretation of clusters and further association of actions to each cluster, constituting a knowledge base with the alerts and recommendations associated to every profile. Bootstrap-CURE technique is used to handle the initial component, whereas a meta-clustering framework is suggested for interpreting the clusters and providing recommendations. A detailed strategy is presented for handling a print job, examining patterns, and executing actions through IDSS, thus improving predictive accuracy and operational efficiency. Two distinct machine learning models were developed, one to detect the operational mode and another to choose the best meta-cluster for the type of printing jobs and detained steps are provided for implementing the recommendations. © 2024 The Authors.

关键词： Printing presses

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Reasoning about actions for the management of urban wastewater systems using a causal logic

Reasoning about actions for the management of urban wastewat...

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5th Biennial Conference of the International Environmental Modelling and Software Society: Modelling for Environment's Sake, iEMSs 2010

作者： Garcia-Gasulla, Dario Nieves, Juan Carlos Cortés, Ulises Knowledge Engineering and Machine Learning Group Universitat Politècnica de Catalunya C/Jordi Girona 1-3 Omega 201 Barcelona Spain

ISBN: (纸本)9788890357411

The management of Urban Wastewater Systems (UWS) is a critical and difficult process. Handling polluted water in UWS requires planning and decision making regarding sectors such as environmental, energetic, industrial, etc. In order to represent all the significant concepts, a powerful and flexible formalism is needed. Nowadays, there are solid approaches based on nonmonotonic reasoning which can capture dynamic domains such UWS. In this paper, we present an implementation of a real UWS in the action language Causal Calculator (CCalc-C+) which displays all the singularities of such domain and within which complex queries can be performed. The nonmonotonic causal theory, upon which is based CCalc, allows us to represent some characteristics of UWS such as nondeterministic actions and indirect effects of actions. We will capture the situations and the transitions of the UWS domain and represent them in the form of a finite state machine. CCalc allows us to perform queries regarding;the effects of actions, action planning to reach a certain state and path finding. The resultant work can be used in actual UWS to aid at the decision making process, simplifying the reasoning about actions and allowing a close representation of the real state of UWS.

关键词： Decision making

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Pre and postprocessing in KLASS

Pre and postprocessing in KLASS

引用

4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008

作者： Gibert, Karina Nonell, R. Department of Statistics and Operation Research Technical University of Catalonia Barcelona Spain Knowledge Engineering and Machine Learning Group Technical University of Catalonia Barcelona Catalonia Spain

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