Papers by Leonardo Garrido
EFECTOS DE LA COMUNICACIÓN DIRECTA ENTRE AGENTES EN LOS ALGORITMOS DE AGRUPACIÓN DE CLASES BASADOS EN EL COMPORTAMIENTO DE INSECTOS SOCIALES Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial, año/vol. 9, número 025
Resumen Los algoritmos de agrupaci on de clases basados en el comportamiento colectivo de algunas... more Resumen Los algoritmos de agrupaci on de clases basados en el comportamiento colectivo de algunas especies de insectos sociales son herramientas para el descubrimiento de conocimiento que se basan en la comunicaci on estigmergica, esto es, en la comunicaci on indirecta entre agentes a trav es de modificaciones locales al ambiente.
Abstract. This work describes the research proposal of the Borregos3D Team in the new RoboCup Soc... more Abstract. This work describes the research proposal of the Borregos3D Team in the new RoboCup Soccer Simulator 3D with Humanoid robots. First, we present a brief introduction. Then we show the main characteristics of the new humanoid model, which is based on the Fujitsu HOAP-2 robot. Finally, we discuss our research proposal for the RoboCup simulation league.
ABSTRACT This paper presents some of our experimental work in quantifying the value of building m... more ABSTRACT This paper presents some of our experimental work in quantifying the value of building models about other agents using no more than the observation of others' behavior. We view agent modeling as an iterative and gradual process, where every new piece of information about a particular agent is analyzed in such a way that the model of the agent is further re ned. We present our bayesian-modeler agent which updates his models about the others using a bayesian updating mechanism.
Abstract. Communication among agents in swarm intelligent systems and more generally in multiagen... more Abstract. Communication among agents in swarm intelligent systems and more generally in multiagent systems, is crucial in order to coordinate agents' activities so that a particular goal at the collective level is achieved. From an agent's perspective, the problem consists in establishing communication policies that determine what, when, and how to communicate with others. In general, communication policies will depend on the nature of the problem being solved.
Resumen: Los algoritmos de agrupacion de clases basados en el comportamiento colectivo de algunas... more Resumen: Los algoritmos de agrupacion de clases basados en el comportamiento colectivo de algunas especies de insectos sociales on herramientas para el descubrimiento de conocimiento que se basan en la comunicacion estigmergica, esto es, en la omunicacion indirecta entre agentes a traves de modificaciones locales al ambiente.
This paper presents recent results of our experimental work in quantifying exactly how useful is ... more This paper presents recent results of our experimental work in quantifying exactly how useful is building models about other agents using no more than the observation of others' behavior. The testbed we used in our experiments i an abstraction of the meeting scheduling problem, called the Meeting Scheduling Game, which has competitive as well as cooperative features. The agents are selfish, and use a rational decision theoretic approach based on the probabilistic models that the agent is learning.
Abstract Conventional ant-based clustering algorithms and growing neural gas networks are combine... more Abstract Conventional ant-based clustering algorithms and growing neural gas networks are combined to produce an unsupervised classification algorithm that exploits the strengths of both techiques. The ant-based clustering algorithm detects existing classes on a training data set, and at the same time, trains several growing neural gas networks. On a second stage, these networks are used to classify previously unseen input vectors into the classes detected by the ant-based algorithm.
Borregos is our one-year old simulated soccer team which qualified to the RoboCup Simulation Comp... more Borregos is our one-year old simulated soccer team which qualified to the RoboCup Simulation Competition this year, where only 34 out of 87 teams were allowed. However, Borregos' performance is hindered by some shortcomings, which should be dealt with before it can be considered among the best teams of the world.
Abstract—This paper presents a first approach to study direct information exchange between agents... more Abstract—This paper presents a first approach to study direct information exchange between agents in ant-based clustering by comparing the clustering process development generated by agents that maintain a short-term memory against the one generated by agents that share their memory with their peers whenever an encounter occurs on the environment. The information exchange can allow an agent to “change its mind” regarding the most favorable dropping location on the grid, based on the knowledge of another agent.
Abstract Knowledge and Information distribution is indeed one of the main processes in Knowledge ... more Abstract Knowledge and Information distribution is indeed one of the main processes in Knowledge Management. Today, most Information Technology tools for supporting this distribution are based on repositories accessed through Web-based systems. This approach has, however, many practical limitations, mainly due to the strain they put on the user, who is responsible of accessing the right Knowledge and Information at the right moments.
Abstract. In dynamic multiagent domains with adversary agents, an agent has to adapt its behavior... more Abstract. In dynamic multiagent domains with adversary agents, an agent has to adapt its behavior to the opponent actions in order to increase its ability to compete. A frequently used opponent modeling approach in these domains is to rely on an omniscient agent (eg, a coach in a soccer environment) to classify the opponent and to communicate the opponent's model (or a counter-strategy for that model) to other agents.
Abstract We view meeting scheduling as a distributed task where ach agent knows its user's prefer... more Abstract We view meeting scheduling as a distributed task where ach agent knows its user's preferences and calendar vailability in order to act on behalf of its user. Although we may have some intuitions about how some parameters could affect he meeting scheduling efficiency and meeting quality, we run several experiments in order to explore the tradeoffs between different parameters.
We propose the use of a Fuzzy Naive Bayes classifier with a MAP rule as a decision making module ... more We propose the use of a Fuzzy Naive Bayes classifier with a MAP rule as a decision making module for the RoboCup Soccer Simulation 3D domain. The Naive Bayes classifier has proven to be effective in a wide range of applications, in spite of the fact that the conditional independence assumption is not met in most cases. In the Naive Bayes classifier, each variable has a finite number of values, but in the RoboCup domain, we must deal with continuous variables.
In literature, some authors propose to see artificial intelligence as the design of an intelligen... more In literature, some authors propose to see artificial intelligence as the design of an intelligent agent (Russell & Norvig, 2003). An agent is an entity that perceives its environment, thinks and acts accordingly. An intelligent agent in this sense is one that makes rational decisions. Therefore, some authors like to call them rational agents. The part of artificial intelligence that focuses in the study of rational agents and the way they cooperate, coordinate and negotiate as abstract social entities is called multiagent systems.
Abstract. This paper shows the description of our team Borregos from the Tecnologico de Monterrey... more Abstract. This paper shows the description of our team Borregos from the Tecnologico de Monterrey, Campus Monterrey. Borregos team has been participating in the RoboCup competitions since 2004, starting in the 2D Simulation League and moving forward to the 3D Simulation League with spheres in 2006, the 3D Simulation League with humanoids in 2007 and the RoboStadium Simulation League since 2008. In 2009 we started a new team “Borregos Humanoids” which participated in the Mexican RoboCup Open.
Abstract. In this paper, we describe the architecture and features of Borregos 3D team. Our team ... more Abstract. In this paper, we describe the architecture and features of Borregos 3D team. Our team is relatively new, we competed in Iran's RoboCup AI Games 2005 with a very basic agent design. Now we have incorporated an innovative approach for decision-making based on classification using a Hybrid Fuzzy-Bayes system. We sent a paper to the RoboCup International Symposium 2006 describing this approach.
Although traditional decision-making support systems (DMSS) have been researched extensively, few... more Although traditional decision-making support systems (DMSS) have been researched extensively, few, if any, studies have addressed a unifying architecture for the evaluation of intelligent DMSS (i-DMSS). Traditional systems have often been evaluated in the literature on the basis of single-outcome measures, such as decreased cost, increased profit, or improved forecasting, compared to decision making without a DMSS.
About 25 years ago, the Nobel laureate Herbert A. Simon and other top Management Science/Operatio... more About 25 years ago, the Nobel laureate Herbert A. Simon and other top Management Science/Operations Research (MS/OR) and Artificial Intelligence (AI) researchers, suggested that an integration of the two disciplines would improve the design of decision-making support tools in organizations. The suggested integrated system has been called an intelligent decision-making support system (i-DMSS).
Abstract. This paper shows the description of our team Borregos3D for the RoboCup Simulation 3D l... more Abstract. This paper shows the description of our team Borregos3D for the RoboCup Simulation 3D league. Last year in China we used a basic set of behaviors like walk, kick, turn and stand up. We achieved a very high speed for the walking gait using coupled oscillators. This year campus MTY and campus CEM of our university are starting to collaborate to improve the agent behaviors and decision making algorithms. We are paying special attention to the turn and kick behaviors as they were among the slowest gaits.
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Papers by Leonardo Garrido