Browsing by Subject "Multi agent systems"
Now showing items 1-20 of 33
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Article
ABA: Argumentation based agents
(2012)Many works have identified the potential benefits of using argumentation in multiagent settings, as a way to implement the capabilities of agents (eg. decision making, communication, negotiation) when confronted with ...
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Conference Object
Argumentation Based Decision Making for Autonomous Agents
(2003)This paper presents an argumentation based framework to support the decision making of an agent within a modular architecture for agents. The proposed argumentation framework is dynamic, with arguments and their strength ...
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Article
Argumentation based modelling of embedded agent dialogues
(2006)This paper presents a novel approach to modelling embedded agent dialogues. It proposes a specific structure for the supporting information accompanying the arguments that agents exchange during a dialogue, it defines ...
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Article
Argumentative agent deliberation, roles and context
(2002)This paper presents an argumentation based framework to support an agent's deliberation process for drawing conclusions under a given policy. The argumentative policy of the agent is able to take into account the roles ...
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Conference Object
Argumentative alternating offers
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2010)This paper presents an argumentative version of the well known alternating offers negotiation protocol. The negotiation mechanism is based on an abstract preference based argumentation framework where both epistcmic and ...
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Article
Argumentative alternating offers
(2011)This paper presents an argumentative version of the well known alternating offers negotiation protocol. The negotiation mechanism is based on an abstract preference based argumentation framework where both epistemic and ...
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Conference Object
Control of quantized multi-agent systems with linear nearest neighbor rules: A finite field approach
(2010)We study the problem of controlling a multi-agent system where each agent is only allowed to be in a discrete and finite set of states. Each agent is capable of updating its state based on the states of its neighbors, and ...
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Article
A Data-Driven Framework for Visual Crowd Analysis
(2014)We present a novel approach for analyzing the quality of multi-agent crowd simulation algorithms. Our approach is data-driven, taking as input a set of user-defined metrics and reference training data, either synthetic or ...
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Article
Declarative agent control
(2005)In this work, we extend the architecture of agents (and robots) based upon fixed, one-size-fits-all cycles of operation, by providing a framework of declarative specification of agent control. Control is given in terms of ...
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Conference Object
Distributed formation of balanced and bistochastic weighted digraphs in multi-agent systems
(2013)We propose two distributed algorithms, one for solving the weight-balance problem and another for solving the bistochastic matrix formation problem, in a distributed system whose components (nodes) can exchange information ...
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Article
Distributed function calculation and consensus using linear iterative strategies
(2008)Given an arbitrary network of interconnected nodes, we develop and analyze a distributed strategy that enables a subset of the nodes to calculate any given function of the node values. Our scheme utilizes a linear iteration ...
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Article
Distributed function calculation via linear iterative strategies in the presence of malicious agents
(2011)Given a network of interconnected nodes, each with its own value (such as a measurement, position, vote, or other data), we develop a distributed strategy that enables some or all of the nodes to calculate any arbitrary ...
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Article
Distributed stopping for average consensus in undirected graphs via event-triggered strategies
(2016)We develop and analyze two distributed event-triggered linear iterative algorithms that enable the components of a distributed system, each with some initial value, to reach approximate average consensus on their initial ...
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Article
Editorial: Why coordination models and languages in AI?
(2001)The pervasive spreading of information technology, along with the continuously growing and almost ubiquitous request for intelligence in systems, is giving new life to AI research. At the same time, this introduces new ...
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Article
An evaluation of the java-based approaches to web database access
(2000)Given the undeniable popularity of the Web, providing efficient and secure access to remote databases using a Web browser is crucial for the emerging cooperative information systems and applications. In this paper, we ...
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Conference Object
Extending SATPLAN to multiple agents
(2011)Multi-agent planning is a core issue in the multi-agent systems field. In this work we focus on the coordination of multiple agents in a setting where agents are able to achieve individual goals that may be either independent, ...
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Article
An extension of a hierarchical reinforcement learning algorithm for multiagent settings
(2012)This paper compares and investigates single-agent reinforcement learning (RL) algorithms on the simple and an extended taxi problem domain, and multiagent RL algorithms on a multiagent extension of the simple taxi problem ...
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Fine-grained parallelism in dynamic Web content generation: The parse and dispatch approach
(2003)Dynamic Web content is gaining in popularity over traditional static HTML as the means of providing Web users with personalized and dynamic information. To enable dynamic content, various technologies have been developed ...
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Article
A general framework for argumentation-based negotiation
(2008)This paper proposes a unified and general framework for argumentation-based negotiation, in which the role of argumentation is formally analyzed. The framework makes it possible to study the outcomes of an argumentation-based ...
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Conference Object
How valuable are shopbots?
(Association for Computing Machinery, 2002)The price information that shopbots provide to buyers is clearly valuable, as it enables them to make a better informed choice of product and vendor. We quantify the value of this price information to the buyer in terms ...