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Decreasing uncertainty when interpreting profiles through the traffic lights panel

Decreasing uncertainty when interpreting profiles through th...

引用

14th International Conference on Information Processing and Management of Uncertainty in knowledge-Based Systems, IPMU 2012

作者： Gibert, Karina Conti, Dante Sànchez-Marrè, Miquel Dep. of Statistics and Operation Research Universitat Politècnica de Catalunya Barcelona Spain Knowledge Engineering and Machine Learning Group Universitat Politècnica de Catalunya Barcelona Tech. Spain Dep. of Operations Research Universidad de Los Andes Mérida Venezuela Dep. Software Universitat Politècnica de Catalunya Spain

ISBN: (纸本)9783642317149

This paper describes Traffic Lights Panel (TLP) as a useful interpretation-oriented tool for clustering results, suitable for helping the domain experts to induce a conceptualization of the resulting profiles. Till now, the TLP is manually derived from the clustering results, but it has been well accepted by the domain experts of several real applications as a very helpful contribution to understand the classes' meaning and improve reliable decision-making. Here, a proposal to automatically construction of TLP is presented trying to mimic the real process that the analyst performs. Two criteria based on different central trend statistics of the variables inside a class are introduced, tested with a real case study in Neurorehabilitation field and compared. Finally, uncertainty concerning TLP is analyzed;the annotated TLP (aTLP) is proposed to visualize uncertainty associated to the decisions derived from TLP, thus enhancing robustness of TLP as a supporting tool in decision-making. © 2012 Springer-Verlag.

关键词： Decision making

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A Framework for the Development and Maintenance of Adaptive, Dynamic, Context-Aware Information Services

A Framework for the Development and Maintenance of Adaptive,...

引用

2nd International Conference on Agents and Artificial Intelligence, ICAART 2010

作者： Palau, Manel Gómez-Sebastià, Ignasi Ceccaroni, Luigi Vázquez-Salceda, Javier Nieves, Juan Carlos TMT Factory C/ Moià 1 planta 1 E08006 Barcelona Spain Knowledge Engineering and Machine Learning Group UPC C/Jordi Girona 1-3 E08034 Barcelona Spain Barcelona Digital Centre Tecnològic C/Roc Boronat 117 5a planta E08018 Barcelona Spain

ISBN: (纸本)9783642198892

This paper presents an agent-based methodological approach to design distributed service-oriented systems which can adapt their behaviour according to changes in the environment and in the user needs, even taking the initiative to make suggestions and proactive choices. The highly dynamic, regulated, complex nature of the distributed, interconnected services is tackled through a methodological framework composed of three interconnected levels. The framework relies on coordination and organisational techniques, as well as on semantically annotated Web services to design, deploy and maintain a distributed system, using both a top-down and bottom-up approach. We present results based on a real use case: interactive community displays with tourist information and services, dynamically personalised according to user context and preferences. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Multi agent systems

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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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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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Bringing action language c+ to normative contexts: Preliminary report

Bringing action language c+ to normative contexts: Prelimina...

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6th Latin American Workshop on Non-Monotonic Reasoning, LANMR 2010

作者： Garcia-Gasulla, Dario Nieves, Juan Carlos Knowledge Engineering and Machine Learning Group Universitat Politecnica de Catalunya C/Jordi Girona 1-3 K2M-201 Barcelona Spain

C+ is an action language for specifying and reasoning about the e®ects of actions and the persistence of facts over time. Based on it we present CN+, an operational enhanced form of C+ designed for rep-resenting complex normative systems and integrate them easily into the semantics of the causal theory of actions. The proposed system contains a particular formalization of norms using a life-cycle approach to cap-ture the whole normative meaning of a complex normative framework. We discuss this approach and illustrate it with examples.

关键词： Semantics

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A Flexible Agent-Oriented Solution to Model Organisational and Normative Requirements in Assistive Technologies

A Flexible Agent-Oriented Solution to Model Organisational a...

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13th International Conference of the Catalan-Association-for-Artificial-Intelligence (CCIA)

作者： Gomez-Sebastia, Ignasi Garcia-Gasulla, Dario Barrue, Cristian Vazquez-Salceda, Javier Cortes, Ulises Knowledge Engineering and Machine Learning Group Spain Departament de Llenguatges i Sistemes Informátics Universitat Politécnica de Catalunya (UPC) E-08034 Barcelona C/Jordi Girona 1-3 Spain

ISBN: (纸本)9781607506430;9781607506423

Assistive technologies represent a recent application area of a wide variety of Artificial Intelligence methods and tools to support people in their activities of daily living. But most approaches do only center in the direct interaction between the user and the assistive tool, without taking into consideration the important role that other actors (caregivers, relatives) may have in the user activities, nor they explicitly reflect the norms and regulations that apply in such scenarios. In this paper we present an approach to the development of assistive technologies which uses organisational and normative elements to ease the design of both the social network arround the user and their expected behavioural patterns.

关键词： Assistive technologies personalised services normative systems normative agents agent-oriented software design

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Coordination and organisational mechanisms applied to the development of a dynamic, context-aware information service

Coordination and organisational mechanisms applied to the de...

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2nd International Conference on Agents and Artificial Intelligence, ICAART 2010

作者： Palau, Manel Ceccaroni, Luigi Gómez-Sebastià, Ignasi Vázquez-Salceda, Javier Nieves, Juan Carlos TMT Factory C/ Moià 1 planta 1 E08006 Barcelona Spain Knowledge Engineering and Machine Learning Group UPC C/Jordi Girona 1-3 E08034 Barcelona Spain

ISBN: (纸本)9789896740221

A multi-agent system design-methodology is used to address the highly dynamic, regulated, complex, distributed environment of interconnected services. A framework of three interconnected levels is applied to tackle this issue relying on coordination and organisational techniques, as well as on Web-services and new methodologies to design, deploy and maintain a distributed system. This paper presents results based on a real use case: interactive community displays with touristic information and services, dynamically personalised according to user context and preferences.

关键词： Multi agent systems

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Semantic clustering using multiple ontologies

Semantic clustering using multiple ontologies

引用

作者： Batet, Montserrat Valls, Aïda Gibert, Karina Sánchez, David Research Group Department of Computer Science and Mathematics Universitat Rovira i Virgili Avda. Països Catalans 26 43007 Tarragona Catalunya Spain Knowledge Engineering and Machine Learning Group Department of Statistics and Operations Research Universitat Politècnica de Catalunya Spain

ISBN: (纸本)9781607506423

Data mining tools able to semantically interpret textual or linguistic data are acquiring a growing importance. Moreover, the development of large ontologies for general and specific domains provides new tools to include background knowledge into data mining techniques such as clustering. In this paper we present an unsupervised clustering method that exploits the semantics of categorical data by means of ontologies, and it is also able to manage numerical data. Our method is able to use different ontologies in order to assess the meaning of the values during the clustering process, leading to a set of clusters with a clearer semantic interpretation in a particular domain. The influence of using one or several ontologies is analyzed by using real data collected from visitors to the Ebre Delta Natural Park, which is a protected natural reserve in Catalonia (Spain). © 2010 The authors and IOS Press. All rights reserved.

关键词： Ontology

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CONCIENS: Organizational Awareness in Real-Time Strategy Games

CONCIENS: Organizational Awareness in Real-Time Strategy Gam...

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13th International Conference of the Catalan-Association-for-Artificial-Intelligence (CCIA)

作者： Alvarez-Napagao, Sergio Gomez-Sebastia, Ignasi Vazquez-Salceda, Javier Koch, Fernando Knowledge Engineering and Machine Learning Group Spain Institute of Information and Computing Sciences Netherlands Departament de Llenguatges i Sistemes Informátics Universitat Politécnica de Catalunya (UPC) E-08034 Barcelona C/Jordi Girona 1-3 Spain Utrecht University 3508TB Utrecht PO Box 80089 Netherlands

ISBN: (纸本)9781607506430;9781607506423

The implementation of AI in commercial games is usually based on low level designs that makes the control predictable, unadaptive, and non reusable. Recent algorithms such as HTN or GOAP prove that higher levels of abstraction can be applied for better performance. We propose that approaches based on Organizational Theory can help providing a sound alternative for these implementations. In this paper we present CONCIENS, an integration of the ALIVE organizational framework into commercial games. We introduce a proof-of-concept implementation based on the integration to Warcraft III.

关键词： artificial intelligence organizational theory games

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Automatic interpretation of classes for improving decision support

Automatic interpretation of classes for improving decision s...

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

作者： Gibert, K. Pérez-Bonilla, A. Knowledge Engineering and Machine Learning Group Universitat Politècnica de Catalunya Edif. C5 Jordi Girona 1-3 08034 Barcelona Spain Department of Statistics and Operations Research Universitat Politècnica de Catalunya Edif. C5 Jordi Girona 1-3 08034 Barcelona Spain

ISBN: (纸本)9788890357411

More and more, the analysis of clustering results becomes difficult as the number of variables considered increases, and the number of classes is not low. Sometimes concept induction methods are used to associate concepts to every class and use to be expressed as boolean expressions, easy to understand and supposedly providing good support to decision making. It has been seen that most of the concept induction algorithms priorize the compacity of the final expressions, as well as their predictive power. However, for descriptive purposes, when the meaning of classes has to be recognized and understood by the expert, this is not the best approach, since compacity directly implies elimination of redundancies or strong associations, while comprehension of the class is mainly based in understanding how variables interact among them inside the class. Here a method to induce conceptual descriptions of classes is proposed, providing non-minimal descriptions of the classes, but richer ones including the characteristics that distinguishes a class from the others, in such a way that expert can easily recognize the essence of the class, and conceptualize it on the bases of local interactions among all variables observed inside every class. This kind of interpretations provide an excellent support for later decision support systems.

关键词： Decision support systems

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