Multiagent Robotics

Controladores Fuzzy para o Posicionamento Sem Bola do Goleiro no Futebol de Robôs Simulado 2D.

by Jessica Meyer

In: 5th WTICG-BASE - 5th Workshop de Trabalhos de Iniciação Científica e Graduação Bahia, Alagoas e Sergipe, 2008, Vitória da Conquista. Proceedings of the 8th Escola Regional de Computação Bahia, Alagoas e Sergipe (ERBASE), 2008. Sociedade Brasileira de Computação (SBC), Porto Alegre, 2008, vol. 1.

This paper describes a research about fuzzy controllers for the positioning of the goalkeeper without the ball in the... more This paper describes a research about fuzzy controllers for the positioning of the goalkeeper without the ball in the 2d simulated robot soccer. The goal of this research was to improve the behavior of the goalkeeper, raising the number of catches and decreasing the number of goals, improving its positioning to catch the ball. To validate the research, 30 matches were simulated against some of the best teams of the world that participate of the RoboCup. The achieved results are presented, the conclusions are discussed and future works are suggested.

Controladores Fuzzy para Agentes Robôs Jogadores de Futebol

by Jessica Meyer

In: 4th WTICG-BASE - 4th Workshop de Trabalhos de Iniciação Científica e Graduação Bahia, Alagoas e Sergipe, 2007, Vitória da Conquista. Proceedings of the 7th Escola Regional de Computação Bahia, Alagoas e Sergipe (ERBASE), 2007. Sociedade Brasileira de Computação (SBC), Porto Alegre, 2007, vol. 1.

Using Fuzzy Logic to Build a Heterogeneous Multiagent System for the Robotics Soccer Problem

by Jessica Meyer

Not published

This paper presents the initial research results of Bahia Robotics
Team. This is a new research group created to... more This paper presents the initial research results of Bahia Robotics
Team. This is a new research group created to investigate the application of artificial intelligence methods in the standard problem of robotics soccer.
In this work, fuzzy controllers are used to improve some abilities of the players. In the case of the attackers, the kick and the positioning ability were improved. The midfielders had their positioning and passing ability improved. The goalkeeper and the defenders had their positioning ability improved. The generated Bahia2D soccer team was tested in matches against some victorious teams from Robocup Brazil Open 2006 and from previous editions of the Robocup World Competition. The positive results achieved and the ongoing works to improve the current limitations are also presented.

Agent-based Computing from Multi-agent Systems to Agent-Based Models: A Visual Survey

by Muaz Niazi

Citation:
Muaz Niazi & Amir Hussain (2011), Agent-based Computing from Multi-agent Systems to Agent-Based Models: A Visual Survey, Springer Scientometrics, 89(2), 479-499
DOI:10.1007/s11192-011-0468-9

http://www.springerlink.com/content/c3g15318738w0710/

Agent-Based Computing is a diverse research domain concerned with the building of intelligent software based on the... more Agent-Based Computing is a diverse research domain concerned with the building of intelligent software based on the concept of "agents". In this paper, we use Scientometric analysis to analyze
all sub-domains of agent-based computing. Our data consists of 1,064 journal articles indexed in the ISI web of knowledge published during a twenty year period: 1990-2010. These were retrieved using a topic search with various keywords commonly used in sub-domains of agent-based computing. In our proposed approach, we have employed a combination of two applications for analysis, namely Network Workbench and CiteSpace - wherein Network Workbench allowed for the analysis of complex network aspects of the domain, detailed visualization-based analysis of the bibliographic data was performed using CiteSpace. Our results include the identification of the largest cluster based on keywords, the timeline of publication of index terms, the core journals and key subject categories. We also identify the core authors, top countries of origin of the manuscripts along with core research institutes. Finally, our results have interestingly revealed the strong presence of agent-based computing in a number of non-computing related scientific domains including Life Sciences, Ecological Sciences and Social Sciences.

MiRA—Mixed Reality Agents

by Thomas Holz

Thomas Holz, Abraham G. Campbell, Gregory M.P. O’Hare, John W. Stafford, Alan Martin and Mauro Dragone, International Journal of Human-Computer Studies, Volume 69, Issue 4, April 2011, Pages 251-268

In recent years, an increasing number of Mixed Reality (MR) applications have been developed using agent technology —... more In recent years, an increasing number of Mixed Reality (MR) applications have been developed using agent technology — both for the underlying software and as an interface metaphor. However, no unifying field or theory currently exists that can act as a common frame of reference for these varied works. As a result, much duplication of research is evidenced in the literature. This paper seeks to fill this important gap by outlining “for the first time” a formal field of research that has hitherto gone unacknowledged, namely the field of Mixed Reality Agents (MiRAs), which are defined as agents embodied in a Mixed Reality environment.

Based on this definition, a taxonomy is offered that classifies MiRAs along three axes: agency, based on the weak and strong notions outlined by Wooldridge and Jennings (1995); corporeal presence, which describes the degree of virtual or physical representation (body) of a MiRA; and interactive capacity, which characterises its ability to sense and act on the virtual and physical environment.

Furthermore, this paper offers the first comprehensive survey of the state-of-the-art of MiRA research and places each project within the proposed taxonomy. Finally, common trends and future directions for MiRA research are discussed.

By defining Mixed Reality Agents as a formal field, establishing a common taxonomy, and retrospectively placing existing MiRA projects within it, future researchers can effectively position their research within this landscape, thereby avoiding duplication and fostering reuse and interoperability.

Self-Organized Discrimination of Resources

by Simon Garnier

Alexandre Campo, Simon Garnier, Olivier Dédriche, Mouhcine Zekkri and Marco Dorigo. PLoS ONE, 2011, volume 6, number 5, pages e19888

When selecting a resource to exploit, an insect colony must take into account at least two constraints: the resource... more When selecting a resource to exploit, an insect colony must take into account at least two constraints: the resource must be abundant enough to sustain the whole group, but not too large to limit exploitation costs, and risks of conflicts with other colonies. Following recent results on cockroaches and ants, we introduce here a behavioral mechanism that satisfies these two constraints. Individuals simply modulate their probability to switch to another resource as a function of the local density of conspecifics locally detected. As a result, the individuals gather at the smallest resource that can host the whole group, hence reducing competition and exploitation costs while fulfilling the overall group's needs. Our analysis reveals that the group becomes better at discriminating between similar resources as it grows in size. Also, the discrimination mechanism is flexible and the group readily switches to a better suited resource as it appears in the environment. The collective decision emerges through the self-organization of individuals, that is, in absence of any centralized control. It also requires a minimal individual cognitive investment, making the proposed mechanism likely to occur in other social species and suitable for the development of distributed decision making tools.