Publicaciones Académicas

Towards a parameter tuning approach for a map-matching algorithm

Carola A. Blazquez
Jana Ries
Pablo A. Miranda

27 Jun 2017

08 Oct 2016

Fostering Science and Technology Interest in Chilean Children with Educational Robot Kits

Miguel A Solis
Patricio Navarrete
Cristóbal J Nettle
Constanza Oliva

Stabilizing Dynamic State Feedback Controller Synthesis: A Reinforcement Learning Approach Volume 25• Issue 2• 2016

Miguel A. Solis
Manuel Olivares
Héctor Allende

06 Jun 2016

01 Jun 2016

Stabilizing Dynamic State Feedback Controller Synthesis: A Reinforcement Learning Approach

Miguel A Solis
Manuel Olivares
Hector Allende

A single-display groupware collaborative language laboratory

Juan Felipe Calderón
Miguel Nussbaum
Ignacio Carmach
Juan Jaime Díaz
Marco Villalta

18 May 2016

02 Abr 2016

Children at risk: A comparison of child pedestrian traffic collisions in Santiago, Chile, and Seoul, South Korea

Carola Blazquez
Jae Seung Lee
Christopher Zegras

Evolutionary Function Approximation for Gait Generation on Legged Robots

Miguel A Solis
Oscar A Silva


9 Nov 2015

Building an IoT-aware healthcare monitoring system

Abstract: Nowadays, ageing related diseases represent one of the most relevant challenges
for developed countries. The use of healthcare remote technology may allow reducing most
of the management of the chronic diseases meanwhile it may also contribute to the
improvement of elderly people's quality of life. Unfortunately, despite the advent of Internet of
things and the even decreasing price of sensors, current proposals are not extensible during
runtime meaning that they need to be maintained offline by engineers. Therefore, in this  ...

Building an IoT-aware healthcare monitoring system

Carola Blazquez
Isabel Puelma
Ghazan Khan

15 Sep 2015

01 Arb 2015

A Self-adaptive multi-agent system approach for collaborative mobile learning

Didac Gil de la Iglesia
Juan Felipe Calderón
Danny Weyns
Marcelo Milrad
Miguel Nussbaum

2015 Index IEEE Transactions on Learning Technologies Vol. 8

JF Calderon
JI Asensio-Perez
T Auvinen


08 Nov 2014

VirtualMarket: extending ChileCompra with agent capabilities for identifying providers associativity opportunities and negotiate alliance participation

Abstract: Mercado Pablico is a ChileCompra's platform for tenders, an environment where
Chilean companies offer and demand goods and services of all kinds. The main aim of this
platform is to make more efficient and transparent the contracting processes. Nowadays,
tenders asking more than one good and/or service are answered separately. Thus, after
receiving the offers from the sellers, the buyer must select for each part of the tender the best
offer. Unfortunately, this is an inefficient and non optimal process. On the one hand ...

Decentralized strategy for supporting multi-agent negotiation of several aspects of different products

Abstract: In virtual markets based on multi-agent systems, clients and providers delegate the
responsibility of buying or selling a product or service to software agents. In this sense,
decentralized negotiation strategies in multi-agent systems are the key to allow that agents
to reach agreements. However, in environments where there is not any mediator, to reach
consensus is not warranted. In this work, we propose a decentralized strategy of negotiation
in order to two or more agents may negotiate as a group at the same time several ...

08 Nov 2015

15 Sep 2015

Spatial Analysis of Bicycle Crashes in Chile

Carola Blazquez
Isabel Puelma
Ghazan Khan

Time‐Based Hesitant Fuzzy Information Aggregation Approach for Decision‐Making Problems

Abstract Hesitant fuzzy sets have been proposed as an extension of fuzzy sets to address
situations in which decision makers exhibit variations in their alternatives' assessment
values. However, in real-world problems, the decision-making process has to be
accomplished under situations where these assessment values may also drastically change
over time. In this paper, we propose a prioritized aggregation operator to combine a time
sequence of hesitant fuzzy information, where the time-based hesitancy due to changing ...

01 Junio 2014

08 Ago 2014

A market-based approach to the dynamic reconfiguration problem of service-based systems

Abstract Modern complex distributed systems are built as service-based systems (SBSs),
composed of Web services, which are discovered and bound (most of the time) during
runtime to handle the dynamic nature of Web service offerings. As far as vie know, all
reconfiguration approaches assign to SBSs' owners the responsibility to identify, select and
compose services that satisfy their reconfiguration needs. In practice, SBSs are not
omniscient regarding potential service providers' partners or offer trade-offs; thus, in most ...

Managing [email protected] run. time with a linguistic decision making approach

Abstract. In the seminal work about requirements, Zave and Jackson established that if
specification models hold the correctness criteria then, they can be used instead of
requirements to make decisions (eg select an architectural configuration to implement
requirements). Unfortunately, during runtime for systems under changing environments,
domain assumptions may change and if they are not properly maintained (synchronized) the
correctness criteria may becomes not useful to detect when the specification model is not ...


25 Mayo 2013

Addressing the QoS drift in specification models of self-adaptive service-based systems

Abstract: Analysts elaborate precise and verifiable specification models, using as inputs non-
functional requirements and assumptions drawn from the current environment studied at
design time. As most real world applications exist in dynamic environments, recently there
has been research efforts towards the design of software systems that use their specification
models during runtime. The main idea is that software systems should endeavor to keep
their requirements satisfied by adapting their architectural configurations when ...

Mitigating the obsolescence of specification models of service-based systems

Abstract Service-based systems (SBS) must be able to adapt their architectural
configurations during runtime in order to keep satisfied their specification models. These
models are the result of design time derivation of requirements into precise and verifiable
specifications by using the knowledge about the current service offerings. Unfortunately, the
design time knowledge may be no longer valid during runtime. Then, non-functional
constraints may have different numerical meanings at different time even for the same ...

18 Mayo 2013

24 Septiembre 2012

Mitigating the obsolescence of quality specifications models in service-based systems

Requirements-aware systems address the need to reason about uncertainty at
runtime to support adaptation decisions, by representing quality of services (QoS)
requirements for service-based systems (SBS) with precise values in run-time queryable
model specification. However, current approaches do not support updating of the
specification to reflect changes in the service market, like newly available services or
improved QoS of existing ones. Thus, even if the specification models reflect design-time ...

Market-aware Requirements.

Abstract. Traditionally, non-functional requirements (NFRs) are specified as measurable
entities to permit evaluation satisfaction; however, NFR specifications quickly become
obsolete because (1) NFRs are expressed in numbers,(2) architects specify them using the
correct values at design time, and/or (3) providers are constantly improving their offer, in
terms of functionality and quality of service (QoS). The computingwith-words approach has
already been proposed to replace numerical NFR specifications, where natural language ...

Mayo 2012

Abril 2012

Web Service Compositions Which Emerge from Virtual Organizations with Fair Agreements

By wrapping services as active software agents, constantly bidding to consumers’ requests, self-organizing web service compositions can become real. But they still lack a negotiation capability. In this paper, we add to our Multiagent component composition system (MACOCO) the negotiation behavior of non-functional requirements, by implementing a modified version of the Zeuthen strategy, which allows both parties to get a fair agreement without knowing ...

Recommending APIs for mashup completion using association rules mined from real usage data

Abstract: Mashups are becoming the de facto approach to build customer-oriented Web
applications, by combining several Web APIs into a single lightweight, rich, customized Web
front-end. To help mashup builders to choose among a plethora of available APIs to
assemble in their mashups, some existing recommendation techniques rank candidate APIs
using popularity (a social measure) or keyword-based measures (whether semantic or
unverified tags). This article proposes to use information on co-usage of APIs in previous ...

09 Noviembre 2011

09 Noviembre 2011

From virtual organizations to self-organizing web service compositions

Abstract: Due to the ever increasing proliferation of functional-equivalent web services, the
task of finding a proper Web service composition in order to satisfy a set of requirements has
become quite challenging. This problem has been typically addressed from the consumer's
point of view, assigning the responsibility of discovering the needed services and modeling
them as passive entities that wait to be discovered, selected and composed with others. We
tackle the service composition problem to satisfy requirements completely from the ...

Face-to-face collaborative learning supported by mobile phones

Juan Felipe Calderón
Alejandro Echeverría
Miguel Nussbaum
Claudio Bravo
Cristián Infante
Andrea Vásquez

01 Sep 2011

26 Noviembre 2011

Improving the Component Discovery process by leveraging automatic sensitive analysis

Abstract: Component-based approaches have acquired a prominent role in development of
complex software systems. Successful reuse of existing components requires being able to
first identify, and then distinguish among, functionally (near-) equivalent elements of large
component collections. Similar components can be ranked using quality criteria, thus, some
goal-oriented techniques attempt to quantify components quality by indicating valid ranges
for their properties and behavior, like stability, latency and so on. Unfortunately, most ...

Simplifying mashup component selection with a combined similarity-and social-based technique

Abstract Web mashups are becoming the main approach to build Web applications. Current
approaches to enable component selection include description-based techniques and
socially generated metadata. The explosive growth of APIs makes increasingly harder
selecting appropriate components for each mashup. Unfortunately, description-based
techniques rely heavily on the quality of authors' information, and social-based approaches
suffer problems like" cold-start" and" preferential attachment". This article proposes (1) two ...

14 Septiembre 2011

24 Julio 2011

Externalizing the autopoietic part of software to achieve self-adaptability

Abstract: The autopietic/allopietic duality has been proposed to address the fact that
Software systems must look to their own survival besides their successful mission
completion. To the best of our knowledge, there are no explicit computational models to
operationalize and test this distinction. This article describes a framework to add autopietic
capabilities to composite Software systems, by using an external self-organized market full
of service providers willing to provide services for satisfying new requirements and ...

Improving web api discovery by leveraging social information

Abstract: A common problem that mashup developers face is the discovery of APIs that suit
their needs. This primary task becomes harder, tedious and time-consuming with the
proliferation of new APIs. As humans, we learn by example, following community previous
decisions when creating mashups. Most techniques do not consider at all reusing this social
information. In this paper, we propose to combine current discovery techniques (exploration)
with social information (exploitation). Our preliminary results show that by considering the ...

04 Julio 2011

04 Julio 2011

Self-adaptive fuzzy QoS-driven web service discovery

Abstract: Due to the high proliferation of web services, selecting the best services from
functional equivalent service providers have become a real challenge, where the quality of
the services plays a crucial role. But quality is uncertain, therefore, several researchers have
applied Fuzzy logic to address the imprecision of the quality of service (QoS) constraints.
Furthermore, the service market is highly dynamic and competitive, where web services are
constantly entering and exiting this market, and they are continually improving themselves ...

From early architectural decisions to self-discovery components

Abstract. For software architects, selecting components is not a black box process; besides
knowing how well a component performs some required tasks, they also need to understand
how these tasks are performed, ie they are concerned with the design. This is an expensive
and hard task since architects must evaluate and compare large set of available alternative
components using ad-hoc information. This article proposes an automated technique that
supports architects in generating component assemblies given a set of architectural  ...


15 Noviembre 2010

MACOCO: A discoverable component composition framework using a multiagent system

Abstract: Component-based development is a useful approach for building large, complex
software systems. However, component discovery and component composition are quite
complex and expensive tasks, due to the ever growing number of components in the market.
This article proposes to model component providers and consumers as a multi-agent
system, allowing providers to advertise their offerings and consumers to express their
requirements within a shared quality model. The main contributions of this paper is to ...

Composición de mashup de servicios web mediante organizaciones virtuales semánticas



Modular Neural Network Applied to Non-Stationary Time Series

Modular artificial neural networks (MANN) have been used in the last years as clasification/forecasting
machine, showing improved generalization capabil- ities that outperform those of single networks
when the search space is stratified. Time Series data could be generated by many unknown
and different sources and Modular Neural Networks, in particular Mixture of Experts models,
are suitable for this time series where each expert is more capable to model some region in the
input space and a gating network makes an intelligent selection of the expert that will ...

Quienes Somos

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