Programa, xerrades, activitats i articles acceptats
Xerrades convidades
Christian Bessière.
Global Constraints in Constraint programming
Constraint propagation is a key feature in constraint programming. In
the last 15 years, global constraints became an essential component of
constraint programming because they often allow stronger propagation.
There is a catalog that contains more than 300 global constraints. We
will show that, surprisingly, for many of those constraints, reasoning
on a decomposition into simple fixed-arity constraints achieves the same
level of propagation. But we found global constraints that express a non
decomposable property. This means that for these constraints, no
decomposition in fixed-arity constraints is able to propagate as much as
the original global constraint. This result of non-decomposability also
holds for decompositions in SAT, using the well-known direct encoding
translation.
Bart Selman.
Going Beyond NP: New Challenges in Inference Technology
In recent years, we have seen tremendous progress in inference technologies. For example, in the area of Boolean satisfiability (SAT) and Mixed Integer Programming (MIP) solvers now enable us to tackle significant practical problem instances with up to a million variables and constraints. Key to this success is the ability to strike the right balance between the expressiveness of the underlying representation formalism and the efficiency of the solvers. The next challenge is to extend the reach of these solvers to more complex
tasks that lie beyond NP. I will discuss our work on sampling, counting, probabilistic reasoning, and adversarial reasoning. In particular, I will discuss a new sampling technique based on the so-called flat histogram method, from statistical physics. The technique allows for fast probabilistic inference and learning in
Markov Logic networks and other graphical models. In the area of adversarial reasoning, the UCT method, based on sampling strategies first developed for use in multi-armed bandit scenarios, provides a compelling alternative to traditional minimax search. The method has led to an exciting advance in the strength of GO programs. I'll discuss insights into the surprising effectiveness of the UCT technique.
Articles acceptats
Francesc Guitart, Ramon Béjar, Cèsar Fernández and Carles Mateu.
Towards an Efficient Use of Resources in All-Optical Networks
Albert Samà, Francisco J. Ruiz, Carlos Pérez-López and Andreu Català.
Gait recognition by using Spectrum Analysis on state space reconstruction
Francisco Mugica, Solmaz Bagherpour, Angela Nebot, Antoni Serrano-Blanco and Luisa Baladón.
A Major Depression Patient Evolution Model Based on Qualitative Reasoning
Lucas Marin, Antonio Moreno and David Isern.
Automatic learning of preferences in numeric criteria
Josep Argelich, Ramon Béjar, Cèsar Fernández and Carles Mateu.
On 2SAT-MaxOnes with Unbalanced Polarity: from Easy Problems to Hard MaxClique Problems
Sergi Martínez-Bea and Vicenç Torra.
An Evaluation Framework for Location Privacy
Sergio Martinez, Aida Valls and David Sanchez.
An ontology-based record linkage method for textual microdata
Eva Armengol, Pilar Dellunde and Carlo Ratto.
Lazy Learning Methods for Quality of Life Assessment
Eval Bladimir Bacca Cortes, Joaquim Salvi and Xavier Cufí Solé.
Probabilistic Appearance-based Mapping and Localization using the Feature Stability Histogram
Josep Argelich, Chu Min Li, Felip Manyà and Jordi Planes.
Experimenting with the Instances of the MaxSAT Evaluation
Arturo Ribes, Senshan Ji, Arnau Ramisa and Ramon Lopez De Mantaras.
Self-Supervised Clustering for Codebook Construction: An Application to Object Localization
Pablo Almajano, Maite López-Sánchez, Marc Esteva and Inmaculada Rodríguez.
An Assistance Infrastructure for open MAS
Arnau Ramisa, Guillem Alenya, Francesc Moreno-Noguer and Carme Torras.
Determining Where to Grasp Cloth Using Depth Information
Sergi Foix, Guillem Alenyà and Carme Torras.
Towards plant monitoring through Next Best View
David Roche, Debora Gil and Jesus Giraldo.
An inference model for analyzing termination conditions of Evolutionary Algorithms
Lledó Museros, Ismael Sanz and Zoe Falomir.
A First Approximation to a Cognitive Icon Query By Example Search Engine
Victor Codina and Luigi Ceccaroni.
Extending Recommendation Systems with Semantics and Context-Awareness
Jorge Bernal, Javier Sánchez and Fernando Vilariño.
Depth of Valleys Accumulation Algorithm for Object Detection
Juan Carlos Nieves, Mauricio Osorio and Ulises Cortés.
Extending the Grounded Semantics by Using Rewriting Systems
Pere Pardo, Pilar Dellunde and Lluis Godo.
Argumentation-based Negotiation in t-DeLP-POP
Carlos Ansótegui and Jordi Levy.
On the Modularity of Industrial SAT Instances
Programa detallat
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Actes
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Esquema del programa
Dia 1. 26/10/2011
- 15:00 Registre
- 15:30 Inauguració del congrés
- 15:45 - 16:45 Sessió 1: Robòtica i visió artificial
- 16:45 - 17:00 Pausa cafè
- 17:00 - 18:00 Sessió 2 Robòtica i visió artificial
- 18:15 - 18:45 Premi ACIA
- 19:15 Visita al Museu de Lleida
Dia 2. 27/10/2011
- 9:45 - 11:00 Xerrada convidada. Bart Selman
- 11:15 - 12:15 Sessió 3: Sistemes multiagent
- 12:15 - 12:30 Pausa cafè
- 12:30 - 13:30 Sessió 4: Negociació i argumentació
- 13:30 Dinar
- 15:30 - 17:10 Sessió 5: Satisfacció de restriccions, cerca i optimització
- 17:10 - 17:25 Pausa cafè
- 17:25 - 18:25 Sessió 6: Aprenentatge automàtic i mineria de dades
- 18:30 - 19:30 Assemblea ACIA
- 20:00 - 21:30 Visita a la Seu Vella
- 21:30 Sopar del congrés
Dia 3. 28/10/2011
- 9:45 - 11:00 Xerrada convidada. Christian Bessière
- 11:00 - 12:35 Sessió 7: Aprenentatge automàtic i mineria de dades
- 12:35 - 12:45 Pausa cafè
- 12:45 - 13:45 ACIA. Programa de doctorat
- 13:45 - 14:00 Demostracions de l'ACIA a l'ECAI-2012
- 14:00 Cloenda