Book•
Agent Computing and Multi-Agent Systems: 10th Pacific Rim International Conference on Multi-Agent Systems, PRIMA 2007, Bangkok, Thailand, November 21-23, 2007. Revised Papers
21 Apr 2009-
TL;DR: Existence of Risk Strategy Equilibrium in Games Having No Pure Strategy Nash Equilibrium, and Multiagent Planning with Trembling-Hand Perfect Equ equilibrium in Multiagent POMDPs.
Abstract: Existence of Risk Strategy Equilibrium in Games Having No Pure Strategy Nash Equilibrium.- Multiagent Planning with Trembling-Hand Perfect Equilibrium in Multiagent POMDPs.- MAGEFRAME: A Modular Agent Framework to Support Various Communication Schemas Based on a Self-embedding Algorithm.- Using Multiagent System to Build Structural Earth Model.- Agent-Supported Protein Structure Similarity Searching.- Merging Roles in Coordination and in Agent Deliberation.- Planning Actions with Social Consequences.- Layered Cooperation of Macro Agents and Micro Agents in Cooperative Active Contour Model.- Contextual Agent Deliberation in Defeasible Logic.- Real-Time Moving Target Search.- Formalizing Excusableness of Failures in Multi-Agent Systems.- Design and Implementation of Security Mechanisms for a Hierarchical Community-Based Multi-Agent System.- A Need for Biologically Inspired Architectural Description: The Agent Ontogenesis Case.- Multi-Agent Based Web Search with Heterogeneous Semantics.- Reasoning about Norms, Obligations, Time and Agents.- An Agent Modeling Method Based on Scenario Rehearsal for Multiagent Simulation.- Fast Partial Reallocation in Combinatorial Auctions for Iterative Resource Allocation.- Deliberation Process in a BDI Model with Bayesian Networks.- An Asymmetric Protocol for Argumentation Games in Defeasible Logic.- On the Design of Interface Agents for a DRT Transportation System.- Supporting Requirements Analysis in Tropos: A Planning-Based Approach.- Towards Method Engineering for Multi-Agent Systems: A Validation of a Generic MAS Metamodel.- Entrainment in Human-Agent Text Communication.- A Driver Modeling Methodology Using Hypothetical Reasoning for Multiagent Traffic Simulation.- Analysis of Pedestrian Navigation Using Cellular Phones.- Identifying Structural Changes in Networks Generated from Agent-Based Social Simulation Models.- Multi-agent Simulation of Linguistic Processes: A NEPs Perspective.- A 3D Conversational Agent for Presenting Digital Information for Deaf People.- Multiagent-Based Defensive Strategy System for Military Simulation.- Achieving DRBAC Authorization in Multi-trust Domains with MAS Architecture and PMI.- When and How to Smile: Emotional Expression for 3D Conversational Agents.- GAMA: An Environment for Implementing and Running Spatially Explicit Multi-agent Simulations.- Multi-agent Based Incineration Process Control System with Qualitative Model.- Engineering Adaptive Multi-Agent Systems with ODAM Methodology.- Integrating Agent Technology and SIP Technology to Develop Telecommunication Applications with JadexT.- A Generic Distributed Algorithm for Computing by Random Mobile Agents.- Coalition Structure Generation in Task-Based Settings Based on Cardinality Structure.- A Specialised Architecture for Embedding Trust Evaluation Capabilities in Intelligent Mobile Agents.- Reasoning with Levels of Modalities in BDI Logic.- A Distributed Computational Model for Mobile Agents.- Belief-Based Stability in Non-transferable Utility Coalition Formation.- Deja Vu: Social Network Agents for Personal Impression Management.- Agent Dialogue as Partial Argumentation and Its Fixpoint Semantics.- Developing Knowledge Models for Multi-agent Mediator Systems.- A Game Theoretic Approach for Deploying Intrusion Detection Agent.- Double Token-Ring and Region-Tree Based Group Communication Mechanism for Mobile Agent.- Towards Culturally-Situated Agent Which Can Detect Cultural Differences.- Ontology-Based Emotion System for Digital Environment.- An Agent Approach for Distributed Job-Shop Scheduling.
Citations
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12 Nov 2010
TL;DR: A new simulation platform, GAMA, is developed that allows modelers to define spatially explicit and multi-levels models and integrates powerful tools coming from Geographic Information Systems and Data Mining easing the modeling and analysis efforts.
Abstract: The agent-based modeling is now widely used to study complex systems. Its ability to represent several levels of interaction along a detailed (complex) environment representation favored such a development. However, in many models, these capabilities are not fully used. Indeed, only simple, usually discrete, environment representation and one level of interaction (rarely two or three) are considered in most of the agent-based models. The major reason behind this fact is the lack of simulation platforms assisting the work of modelers in these domains. To tackle this problem, we developed a new simulation platform, GAMA. This platform allows modelers to define spatially explicit and multi-levels models. In particular, it integrates powerful tools coming from Geographic Information Systems (GIS) and Data Mining easing the modeling and analysis efforts. In this paper, we present how this platform addresses these issues and how such tools are available right out of the box to modelers.
179 citations
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25 Nov 2007TL;DR: In evaluating the performance of C2_Music using a real world data, it outperforms the comparative system that utilizes the user's demographics and behavioral patterns only.
Abstract: The recommendation system is one of the core technologies for implementing personalization services Recommendation systems in ubiquitous computing environment should have the capability of context-awareness In this research, we developed a music recommendation system, which we shall call C2_Music, which utilizes not only the user's demographics and behavioral patterns but also the user's context For a specific user in a specific context, the C2_Music recommends the music that the similar users listened most in the similar context In evaluating the performance of C2_Music using a real world data, it outperforms the comparative system that utilizes the user's demographics and behavioral patterns only
110 citations
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TL;DR: This paper identifies typical building blocks of swarm intelligence systems and shows how they are used to solve routing problems and presents Ant Colony Routing, a general framework in which most swarm intelligence routing algorithms can be placed.
Abstract: In the past few years, there has been much research on the application of swarm intelligence to the problem of adaptive routing in telecommunications networks. A large number of algorithms have been proposed for different types of networks, including wired networks and wireless ad hoc networks. In this paper, we give an overview of this research area. We address both the principles underlying the research and the practical applications that have been proposed. We start by giving a detailed description of the challenges in this problem domain, and we investigate how swarm intelligence can be used to address them. We identify typical building blocks of swarm intelligence systems and we show how they are used to solve routing problems. Then, we present Ant Colony Routing, a general framework in which most swarm intelligence routing algorithms can be placed. After that, we give an extensive overview of existing algorithms, discussing for each of them their contributions and their relative place in this research area. We conclude with an overview of future research directions that we consider important for the further development of this field.
109 citations
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01 Jan 2012TL;DR: The role of agent-based modeling in the generative-analytical part of this symbiosis is described and discussed, looking at what concepts are used, how they are used (implemented), and what kind of validation procedures can be applied.
Abstract: Computational social science and in particular agent-based social simulation continue to gain momentum in the academic community. Social network analysis enjoys even more popularity. They both have much in common. In agent-based models, individual interactions are simulated to generate social patterns of all kinds, including relationships that can then be analyzed by social network analysis. This chapter describes and discusses the role of agent-based modeling in the generative-analytical part of this symbiosis. More precisely, we look at what concepts are used, how they are used (implemented), and what kind of validation procedures can be applied.
42 citations
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25 Aug 2014TL;DR: A survey on existing platforms and their evaluation in the context of high performance computing, then a performance comparison using the same agent model implemented on each platform.
Abstract: Simulation has become an indispensable tool for researchers to explore systems without having recourse to real experiments. Depending on the characteristics of the modeled system, methods used to represent the system may vary. Multi-agent systems are, thus, often used to model and simulate complex systems. Whatever modeling type used, increasing the size and the precision of the model increases the amount of computation, requiring the use of parallel systems when it becomes too large. In this paper, we focus on parallel platforms that support multi-agent simulations. Our contribution is a survey on existing platforms and their evaluation in the context of high performance computing. We present a qualitative analysis, mainly based on platform properties, then a performance comparison using the same agent model implemented on each platform.
25 citations
References
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07 Aug 2006TL;DR: A scheme to automatically generate utterances of Web guide agents depending on Web pages, which utilizes RDF (Resource Description Framework) to present the semantic contents of Web pages and extends the AIML language to incorporate SPARQL query in it.
Abstract: Embodied conversational agents (ECA’s) are cartoon-like characters which interact with users through conversation and gestures on a computer screen. ECA makes human computer interactions more friendly because we can use most human-like communication skills such as natural conversation. ECA’s are useful as Web guides by incorporating them into Web browsers. They guide us around Web pages chatting with us. To build such an agent, we need to describe a scenario to explain Web pages. Conventionally such scenarios are written manually by developers or programmers using a dialogue description language such as AIML (Artificial Intelligence Markup Language), so it is difficult to update them when Web pages are updated. In this paper, we propose a scheme to automatically generate utterances of Web guide agents depending on Web pages. To this end, we need to make agents understand the contents of Web pages and to make them talk according to the contents, so we utilize RDF (Resource Description Framework) to present the semantic contents of Web pages. To make agents talk according to the contents, we utilize a RDF query language SPARQL (Simple Protocol And RDF Query Language) and extend the AIML language to incorporate SPARQL query in it. As a prototype, we developed a Web guide system employing an ECA.
14 citations
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07 Aug 2006TL;DR: The key objective of this paper is the development of architecture and semantic translations in such a way that the agents can communicate with the web services in an efficient manner.
Abstract: Evolution of World Wide Web has made it a focal point of research to apply structured and well-defined meanings to achieve Semantic Web and ultimately the Semantic Grid. The realization of this goal gives rise to the integration of technologies that can negotiate and cooperate in which agents have proven to be effective. OWL (Web Ontology Language) is currently the W3C standard for providing the explicit semantics to the web services whereas the FIPA Semantic Language is the core of agent platforms due to its high expressive power. The key objective of this paper is the development of architecture and semantic translations in such a way that the agents can communicate with the web services in an efficient manner.
7 citations
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07 Aug 2006
TL;DR: The research proposes a software agent’s framework in which, two main approaches, namely Automated Collaborative Filtering (ACF) and Better Business Bureau (BBB) are merged to produce better agents in assisting buying decision process.
Abstract: In traditional business model, the buying decision process is poorly coordinated among the human decision-makers. Therefore, a long-lived, adaptive, and autonomous application called software agents, that can perform tasks such as personalization, brokering, and negotiation in e-commerce is much needed. These applications reside at the buyers’ side or at the sellers’ servers. The purpose of this paper is to research into possible deployment of software agents in a framework for e-commerce buying decision process. This paper overviews the traditional business model, the Consumer Buying Behavior (CBB) model, and also covers the requirements needed for minimizing human interactions in buying decision processes. The research proposes a software agent’s framework in which, two main approaches, namely Automated Collaborative Filtering (ACF) and Better Business Bureau (BBB), are merged to produce better agents in assisting buying decision process. The framework will enable the agents to get the best price for a good product from a reputable merchant.
4 citations
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07 Aug 2006TL;DR: This work designs and implements high speed protocol anomaly and signature based intrusion detection approach to detect known and unknown attacks, which extracts a set of service fields from the application payload where many attacks occur and analyzes the value of fields to verify attack.
Abstract: Network intrusion detection systems often rely on matching patterns that are gleaned from known attacks. While this method is reliable and rarely produces false alarms, it has the obvious disadvantage that it cannot detect novel attacks. Accordingly, an alternative approach which can be a combination with pattern matching approach is needed. We have made effort to design and implement high speed protocol anomaly and signature based intrusion detection approach to detect known and unknown attacks. This approach extracts a set of service fields from the application payload where many attacks occur and analyzes the value of fields to verify attack. This approach is implemented on the FPGA (Xilinx Virtex II pro) device to process packet at gigabit-per-second data rates.
4 citations
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07 Aug 2006
TL;DR: A transparently dynamic adaptation framework using aspect oriented programming technique to adjust not only a variety of static resources, but also dynamic ones whose amount is continually changed at runtime even in the same computational environment is presented.
Abstract: The rapid emergence of small connected devices with wireless links needs highly dynamic adaptable distributed system architectures. But, in most current mobile agent systems, each mobile agent is able to exploit only uniform functionalities supported in every runtime environment. This feature has the agent difficult to use environment-specific resources. This paper presents a transparently dynamic adaptation framework using aspect oriented programming technique to adjust not only a variety of static resources, but also dynamic ones whose amount is continually changed at runtime even in the same computational environment. To make agent programmers easy to implement applications with no knowledge of dynamic adaptation, software developers in the proposed framework are classified into three groups, mobile agent application programmer, policy decision maker and component implementer. In here, policy decision makers can apply various adaptation policies to dynamically changing environments in order to accommodate mobile agents to the change of their resources.
4 citations