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Displaying 1-10 out of 10 total
Railroad Driving Model Based on Distributed Constraint Optimization
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Allan Rodrigo Leite, Bruno Giacomet, Fabrício Enembreck
Issue Date:September 2009
pp. 474-481
Distributed Constraint Optimization Problems (DCOP) has emerged as one of the most important multiagent coordination techniques, due to its ability to optimize the global function modeled as a set of constraints. This paper presents a study that proposes t...
 
A learning agent to help drive vehicles
Found in: International Conference on Computer Supported Cooperative Work in Design
By Andre Pinz Borges, Richardson Ribeiro, Braulio C. Avila, Fabricio Enembreck, Edson E. Scalabrin
Issue Date:April 2009
pp. 282-287
This paper presents the development of an intelligent agent used to assist vehicle drivers. The agent has a set of resources to generate its action policy: road and vehicle features and a knowledge base containing conduct rules. The perception of the agent...
 
Distributed Constraint Optimization for scheduling in CSCWD
Found in: International Conference on Computer Supported Cooperative Work in Design
By Fabricio Enembreck, Edson Emilio Scalabrin, Braulio Coelho Avila, Jean-Paul Barthes
Issue Date:April 2009
pp. 252-257
This paper introduces a new agent-based algorithm for scheduling in CSCWD. Distributed Artificial Intelligence provides a lot of research areas, including CSCWD, with efficient decentralized optimization and problem solving techniques. In this paper we foc...
 
Interaction Models for Multiagent Reinforcement Learning
Found in: Computational Intelligence for Modelling, Control and Automation, International Conference on
By Richardson Ribeiro, André P. Borges, Fabricio Enembreck
Issue Date:December 2008
pp. 464-469
This article proposes and compares different interac-tion models for reinforcement learning based on multi-agent system. The cooperation during the learning proc-ess is crucial to guarantee the convergence to a good policy. The exchange of rewards among th...
 
Noise Tolerance in Reinforcement Learning Algorithms
Found in: Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By Richardson Ribeiro, Alessandro L. Koerich, Fabrício Enembreck
Issue Date:November 2007
pp. 265-268
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumulate many rewards for its actions. However, the amount of rewards received by t...
 
Multiagent-Based Model Integration
Found in: Web Intelligence and Intelligent Agent Technology, International Conference on
By Ana Carolina M. Pilatti de Paula, Braulio C. Avila, Edson Scalabrin, Fabricio Enembreck
Issue Date:December 2006
pp. 11-14
This paper presents a Distributed Data Mining technique based on a multiagent environment, called SMAMDD (MultiAgent System for Distributed Data Mining), which uses model integration. Model Integration consists in the amalgamation of local models into a gl...
 
KNOMA: A New Approach for Knowledge Integration
Found in: Computers and Communications, IEEE Symposium on
By Fabrício Enembreck, Bráulio C. Ávila
Issue Date:June 2006
pp. 898-903
In this paper we present a new meta-learning approach for Knowledge Integration. To generate accurate classifiers one can use combination techniques like Stacking, Bagging and Boosting. Such techniques are used for the generation of vote committees that pr...
 
Encrypted certified trust in multi-agent system
Found in: International Conference on Computer Supported Cooperative Work in Design
By Vanderson Botelho, Fabricio Enembreck, Braulio C. Avila, Hilton de Azevedo, Edson E. Scalabrin
Issue Date:April 2009
pp. 227-232
We present a model for the certification of trust in multi-agent systems based on encryption. The objective is to raise the level of efficiency that client agents have when contracting specialized service agents. We make three hypotheses: (i) client agents...
 
Personalization in Multi-Agent Systems
Found in: Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By Fabrício Enembreck, Jean-Paul Barthès
Issue Date:September 2005
pp. 230-233
<p>In this paper we study the aspects of the Human-MAS Interaction found in organizational applications based on MAS. The increasing the number of MAS applications inside organizations introduces a basic problem: how should the user interact with suc...
 
Decision Tree-Based Paraconsistent Learning
Found in: Chilean Computer Science Society, International Conference of the
By Fabricio Enembreck, Braulio Coelho Avila, Robert Sabourin
Issue Date:November 1999
pp. 43
It is possible to apply Machine Learning, Uncertainty Management and Paraconsistent Logic concepts to the design of a Paraconsistent Learning system, able to extract useful knowledge even in the presence of inconsistent information in a database.This paper...
 
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