Search results for: Analía Amandi

Items from 1 to 20 out of 52 results

article

Ryan J. Urbanowicz, and Will N. Browne: Introduction to learning classifier systems

Analía Amandi

Genetic Programming and Evolvable Machines > 2018 > 19 > 4 > 569-570

article

Can digital games help us identify our skills to manage abstractions?

Juan Feldman, Ariel Monteserin, Analía Amandi

Applied Intelligence > 2016 > 45 > 4 > 1103-1118

In this work we present our progress in the field of Intelligent User Profiling. Our objective is to build a user profile that captures users’ skills rather than classical users’ interests. Thus, we propose a novel approach to learn users’ skills by observing their behavior during a very common activity: playing games. Specifically, we automatically identify users’ skills to manage abstractions by...

chapter

Detección de incidentes de tránsito en Twitter

Brian Caimmi, Sebastian Vallejos, Luis Berdun, Alvaro Soria, more

2016 IEEE Biennial Congress of Argentina (ARGENCON) > 1 - 6

2016 IEEE Biennial Congress of Argentina (ARGENCON)

Nowadays, traffic has become a real chaos in big cities, affecting the mobility of millions of people. On the other hand, social networks handle large amounts of publications dealing divers topics. In particular, many of these publications are shared with the aim of warning about traffic incidents. In this paper, an approach that combines Machine Learning and Natural Language Processing techniques...

chapter

Recommending educational video games based on game features and student's Learning Styles

Juan Feldman, Ariel Monteserin, Analia Amandi

2016 IEEE Biennial Congress of Argentina (ARGENCON) > 1 - 6

2016 IEEE Biennial Congress of Argentina (ARGENCON)

Students learn and process information in different ways according to their learning styles. There are many learning styles and teachers are usually unable to deliver learning material that matches every possible combination. In this context, several tools, called Adaptive Hypermedia Systems (AHS), have been developed to automatically adapt and recommend learning material according to the students'...

chapter

Enhancing the Interaction between Agents and Users

Marcelo Armentano, Silvia Schiaffino, Analía Amandi

Lecture Notes in Computer Science > Advances in Artificial Intelligence - SBIA 2008 > Distributed AI: Autonomous Agents, Multi-Agent Systems and Game Theory > 53-62

A key aspect when interface agents provide personalized assistance to users, is knowing not only a user’s preferences and interests with respect to a software application but also when and how the user prefers to be assisted. To achieve this goal, interface agents have to detect the user’s intention to determine when to assist the user, and the user’s interaction and interruption preferences to provide...

chapter

PersonalSearcher: An Intelligent Agent for Searching Web Pages

Daniela Godoy, Analía Amandi

Lecture Notes in Computer Science > Advances in Artificial Intelligence > Knowledge Engineering and Case Based Reasoning > 43-52

The volume of information on the Internet is constantly growing. This fact causes that the search of interesting information becomes a time- consuming task. Generally, a user must revise a big number of uninteresting documents and consult several search engines before finding relevant information. A personalized agent, called PersonalSearcher, that assists the user in finding interesting documents...

chapter

Building Object-Agents from a Software Meta-Architecture

Analía Amandí, Ana Price

Lecture Notes in Computer Science > Advances in Artificial Intelligence > Multi-agent Systems > 21-30

Multi-agent systems can be viewed as object-oriented systems in which their entities show an autonomous behavior. If objects could acquire such skill in a flexible way, agents could be built exploiting object-oriented techniques and tools. There are several ways for building agents from objects: defining common interfaces and behavior in abstract superclasses, wrapping objects with agent behavior...

chapter

An Agent-Based Recommender System to Support Collaborative Web Search Based on Shared User Interests

Daniela Godoy, Analía Amandi

Lecture Notes in Computer Science > Groupware: Design, Implementation, and Use > Groupware Activities and Evaluation > 303-318

Personal information agents emerged in the last decade as an alternative to assist users to cope with the increasing volume of information available on the Web. In order to provide personalized assistance, these agents rely on user profiles modeling user information preferences, interests and habits. Inserted in communities of people with similar interests, personal agents can improve their assistance...

chapter

Modeling Interests of Web Users for Recommendation: A User Profiling Approach and Trends

Daniela Godoy, Analía Amandi

Studies in Computational Intelligence > Evolution of the Web in Artificial Intelligence Environments > 41-68

In order to personalize Web-based tasks, personal agents rely on representations of user interests and preferences contained in user profiles. In consequence, a critical component for these agents is their capacity to acquire and model user interest categories as well as adapt them to changes in user interests over time. In this chapter, we address the problem of modeling the information preferences...

chapter

Assisting Database Users in a Web Environment

Silvia Schiaffino, Analía Amandi

Lecture Notes in Computer Science > Web Engineering > Agents on the Web > 26-29

Intelligent agents assisting users with repetitive tasks learn how these users perform these tasks and then they help users by making suggestions and, sometimes, by executing tasks on behalf of the users. Making queries to a relational database system is a repetitive and time-consuming task in which intelligent agents can be very helpful. In this work we present QueryGuesser, an intelligent agent...

chapter

Multi-paradigm Languages Supporting Multi-agent Development

Analía Amandi, Alejandro Zunino, Ramiro Iturregui

Lecture Notes in Computer Science > Multi-Agent System Engineering > Languages and Protocols > 128-139

Object-oriented languages generally support agent developments despite logic languages are more appropriate for managing mental attitudes. The alternative of a multi-paradigm language is a way for supporting agent constructions we explore. A multi-paradigm language that supports the encapsulation of actions, the hiding of private knowledge and the flexible manipulation of knowledge could be a good...

chapter

Intelligent User Profiling

Silvia Schiaffino, Analía Amandi

Lecture Notes in Computer Science > Artificial Intelligence An International Perspective > 193-216

User profiles or user models are vital in many areas in which it is essential to obtain knowledge about users of software applications. Examples of these areas are intelligent agents, adaptive systems, intelligent tutoring systems, recommender systems, intelligent e-commerce applications, and knowledge management systems. In this chapter we study the main issues regarding user profiles from the perspectives...

chapter

Enriching Information Agents’ Knowledge by Ontology Comparison: A Case Study

Gustavo A. Giménez-Lugo, Analia Amandi, Jaime Sichman, Daniela Godoy

Lecture Notes in Computer Science > Advances in Artificial Intelligence — IBERAMIA 2002 > Distributed Artificial Intelligence and Multi-agent Systems > 546-555

This work presents an approach in which user profiles,represented by ontologies that were learned by an interface agent,are compared to foster collaboration for information retrieval from the web. It is shown how the interface agent represents the knowledge about the user along with the profiles that were empirically developed. Departing from a specific matching model,briefly presented here,quan titative...

chapter

Genetic algorithm for automatic group formation considering student's learning styles

German Lescano, Rosanna Costaguta, Analia Amandi

2016 8th Euro American Conference on Telematics and Information Systems (EATIS) > 1 - 8

2016 8th Euro American Conference on Telematics and Information Systems (EATIS)

Group formation is an important topic in Computer Supported Collaborative Learning (CSCL) because that has implications in the group performance. In this paper, we propose a genetic algorithm for automatic generation of groups considering learning styles of your members. The group formation with genetic algorithm is a permutative problem, for this reason, genetic operators were designed. We use historical...

chapter

Applying Planning Algorithms to Argue in Cooperative Work

Ariel Monteserin, Silvia Schiaffino, Analía Amandi

Research and Development in Intelligent Systems XXV > Short Papers > 361-366

Negotiation is typically utilized in cooperative work scenarios for solving conflicts. Anticipating possible arguments in this negotiation step represents a key factor since we can take decisions about our participation in the cooperation process. In this context, we present a novel application of planning algorithms for argument generation, where the actions of a plan represent the arguments that...

chapter

Exploiting the Social Capital of Folksonomies for Web Page Classification

Daniela Godoy, Analía Amandi

IFIP — The International Federation for Information Processing > Software Services for e-World > Session 5: Specifications and Semantics > 151-160

Collaborative tagging systems (CTSs), also known as folksonomies, have grown in popularity on the Web and social tagging has become an important feature of many Web 2.0 services. It has been argued that the power of tagging lies in the ability for people to freely determine the appropriate tags for resources without having to rely on a predefined lexicon or hierarchy. The free-form nature of tagging...

chapter

Personalized e-Learning Environments: Considering Students’ Contexts

Victoria Eyharabide, Isabela Gasparini, Silvia Schiaffino, Marcelo Pimenta, more

IFIP — The International Federation for Information Processing > Education and Technology for a Better World > Innovation and Creativity in Schools > 48-57

Personalization in e-learning systems is vital since they are used by a wide variety of students with different characteristics. There are several approaches that aim at personalizing e-learning environments. However, they focus mainly on technological and/or networking aspects without caring of contextual aspects. They consider only a limited version of context while providing personalization. In...

article

Whom should I persuade during a negotiation? An approach based on social influence maximization

Ariel Monteserin, Analía Amandi

Decision Support Systems > 2015 > 77 > Complete > 1-20

During a negotiation, an agent must make several key decisions in order to achieve a profitable agreement. When the negotiation is carried out in a social context, agents can use persuasion, besides the traditional exchange of concessions. To carry out the persuasion and make concessions, the agents must employ resources that are usually scarce. For this reason, the agents should carefully decide...

article

Automatic detection of learning styles: state of the art

Juan Feldman, Ariel Monteserin, Analía Amandi

Artificial Intelligence Review > 2015 > 44 > 2 > 157-186

A learning style describes the attitudes and behaviors, which determine an individual’s preferred way of learning. Learning styles are particularly important in educational settings since they may help students and tutors become more self-aware of their strengths and weaknesses as learners. The traditional way to identify learning styles is using a test or questionnaire. Despite being reliable, these...

chapter

User Acceptance of Recommender Systems: Influence of the Preference Elicitation Algorithm

Marcelo G. Armentano, Roberto Abalde, Silvia Schiaffino, Analia Amandi

2014 9th International Workshop on Semantic and Social Media Adaptation and Personalization > 72 - 76

2014 9th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)

We conducted a user study evaluating two preference elicitation approaches for collaborative filtering recommender systems: a basic KNN algorithm and a context aware algorithm. Using the technology acceptance model (TAM) as theoretical model, we considered different factors affecting the perceived usefulness, perceived ease of use and attitude towards using the recommender system. We found that the...

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INFONA - science communication portal

Search results for: Analía Amandi

Ryan J. Urbanowicz, and Will N. Browne: Introduction to learning classifier systems

Can digital games help us identify our skills to manage abstractions?

Detección de incidentes de tránsito en Twitter

Recommending educational video games based on game features and student's Learning Styles

Enhancing the Interaction between Agents and Users

PersonalSearcher: An Intelligent Agent for Searching Web Pages

Building Object-Agents from a Software Meta-Architecture

An Agent-Based Recommender System to Support Collaborative Web Search Based on Shared User Interests

Modeling Interests of Web Users for Recommendation: A User Profiling Approach and Trends

Assisting Database Users in a Web Environment

Multi-paradigm Languages Supporting Multi-agent Development

Intelligent User Profiling

Enriching Information Agents’ Knowledge by Ontology Comparison: A Case Study

Genetic algorithm for automatic group formation considering student's learning styles

Applying Planning Algorithms to Argue in Cooperative Work

Exploiting the Social Capital of Folksonomies for Web Page Classification

Personalized e-Learning Environments: Considering Students’ Contexts

Whom should I persuade during a negotiation? An approach based on social influence maximization

Automatic detection of learning styles: state of the art

User Acceptance of Recommender Systems: Influence of the Preference Elicitation Algorithm

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