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181
1A WEIGHTED-TREE SIMILARITY ALGORITHM FOR MULTI-AGENT SYSTEMS IN E-BUSINESS ENVIRONMENTS*
"... A tree similarity algorithm for match-making of agents in e-Business environments is presented. Product/service descriptions of seller and buyer agents are represented as node-labelled, arc-labelled, arc-weighted trees. A similarity algorithm for such trees is developed as the basis for semantic mat ..."
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A tree similarity algorithm for match-making of agents in e-Business environments is presented. Product/service descriptions of seller and buyer agents are represented as node-labelled, arc-labelled, arc-weighted trees. A similarity algorithm for such trees is developed as the basis for semantic
Reflective Agent Programming Environment Rxf And Its Multi-Agent Tracer
"... : In this pap er wedescr0 e a newpr)L760 ming envir7;7) t, RXF,for building a multi-agent system (MAS), and itsdebugger RXF is usedfor ror)L99 intuitive development of an MAS that consists ofr)0;P7) e agents. There)C007 e agents ar intelligent and autonomous agents based on arP00/)#7P RXF pr vides ..."
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MASs. We show the exper)L7 tal ral)L of thetr//9 and conclude that thedebugger can be usedfor debugging MASs. 1 INTRODUCTION We have developed RXF (Reflective Familiar [1, 2, 3, 4], a new pr666;)#L9 envir08;L tfor building a multi-agent system (MAS . The main aim of thisri sear h is tocr980 aprP96)#LP
The First Contest on Multi-Agent Systems based on Computational Logic
- PROCEEDINGS OF CLIMA ’05
, 2006
"... This is a short report about the first contest of Multi-Agent Systems (MASs) that are based on computational logic. The CLIMA workshop series (which started in 1999) is a forum to discuss techniques, based on computational logic, for representing, programming, and reasoning about Multi-Agent Syste ..."
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Cited by 10 (7 self)
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This is a short report about the first contest of Multi-Agent Systems (MASs) that are based on computational logic. The CLIMA workshop series (which started in 1999) is a forum to discuss techniques, based on computational logic, for representing, programming, and reasoning about Multi-Agent
An Exploration Of Bugs And Debugging In Multi-agent Systems
- In Proceedings of the 14th International Symposium on Methodologies for Intelligent Systems (ISMIS
, 2003
"... Debugging multi-agent systems, which are concurrent, distributed, and consist of complex components, is difficult, yet crucial. In earlier work we have proposed mechanisms whereby protocol specifications available from the design process can be used for monitoring the execution of the multi-agent sy ..."
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Cited by 14 (6 self)
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system they describe. Protocol specifications can be used at run-time for reporting any discrepancies in interactions compared to that which was specified. In this paper we describe and categorise a range of bugs found in actual multi-agent systems developed by students in an Agent Oriented Programming
Soccer Server and Researches on Multi-Agent Systems
, 1996
"... We have developed Soccer Server, a simulator of soccer, which provides a common test-bench to evaluate multi-agent systems and cooperative algorithms. This server enables a team of players written any kinds of programming systems to play a match with another team written another kind of systems. Usi ..."
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Cited by 15 (3 self)
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We have developed Soccer Server, a simulator of soccer, which provides a common test-bench to evaluate multi-agent systems and cooperative algorithms. This server enables a team of players written any kinds of programming systems to play a match with another team written another kind of systems
Multi-Agent Systems as Concurrent Constraint Processes
, 2001
"... We present a language Scc for a specification of the direct exchange and/or the global sharing of information in multi-agent systems. Scc is based on concurrent constraint programming paradigm which we modify in such a way that agents can (i) maintain its local private store, (ii) share (read/write) ..."
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Cited by 2 (1 self)
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We present a language Scc for a specification of the direct exchange and/or the global sharing of information in multi-agent systems. Scc is based on concurrent constraint programming paradigm which we modify in such a way that agents can (i) maintain its local private store, (ii) share (read
P.: The multi-agent programming contest from 2005-2010 - from gold collecting to herding cows
, 2010
"... The Multi-Agent Programming Contest is an annual international event on pro-gramming multi-agent systems: Teams of agents participate in a simulated cooper-ative scenario. It started in 2005 and is organised in 2010 for the sixth time. The ..."
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Cited by 5 (1 self)
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The Multi-Agent Programming Contest is an annual international event on pro-gramming multi-agent systems: Teams of agents participate in a simulated cooper-ative scenario. It started in 2005 and is organised in 2010 for the sixth time. The
AgentService: A Framework for Distributed Multi-agent System Development,” to be published
- in International Journal of Computers and Applications, ACTA
, 2009
"... Today software systems are complex, dynamic, distributed, and evolve over time. Multi-agent systems (MASs) are a powerful abstraction to model such systems. Agent programming frameworks support software engineers in transforming these abstractions into concrete distributed applications. Even though ..."
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Cited by 3 (2 self)
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Today software systems are complex, dynamic, distributed, and evolve over time. Multi-agent systems (MASs) are a powerful abstraction to model such systems. Agent programming frameworks support software engineers in transforming these abstractions into concrete distributed applications. Even though
Feedback Communication Systems: Fundamental Limits and Control-Theoretic Approach
, 2010
"... Copyright ..."
Evolutionary dynamics of multi-agent learning: a survey
- Journal of Artificial Intelligence Research
, 2015
"... The interaction of multiple autonomous agents gives rise to highly dynamic and nonde-terministic environments, contributing to the complexity in applications such as automated financial markets, smart grids, or robotics. Due to the sheer number of situations that may arise, it is not possible to for ..."
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Cited by 1 (0 self)
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, both in single and multi-agent settings, as a strong, robust and adaptive learning paradigm. Progress has been substantial, and a wide range of algorithms are now available. An important challenge in the domain of multi-agent learning is to gain qualitative insights into the resulting system dynamics
Results 1 - 10
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181
