AAMAS

This paper describes our efforts in creating SimEd, a simulation of the education system. The longterm aim of this work is to be able to model the types of interactions and interplays that occur between students, teachers and administrators, resulting ...

This paper presents an algorithm for learning the meaning of messages communicated between agents that interact while acting optimally towards a cooperative goal. Our reinforcement-learning method is based on Bayesian filtering and has been adapted for ...

In this paper we present the results of the combined development of APOC and ADE, an architecture framework for the analysis, comparison, and design of agent architectures and a distributed agent development environment which implements APOC principles, ...

In this paper, we extend the autonomous robot control and plan language RPL with constructs for specifying experiences, control tasks, learning systems and their parameterization, and exploration strategies. Using these constructs, the learning problems ...

New applications for autonomous robots bring them into the human environment where they are to serve as helpful assistants to untrained users in the home or office, or work as capable members of human-robot teams for security, military, and space ...

The defining characteristic of a multicellular organism is unity of purpose. In biology, the purpose is survival of the organism. The purpose of our multi-agent system is to provide a persistent computing environment in harsh conditions where repairs ...

We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in dynamic, uncertain, real-time, and noisy environments. Our strategy focuses on multi-issue negotiations where each issue is a request from the initiating agent ...

This paper presents a model for integrative, one-to-one negotiation in which the values across multiple attributes are negotiated simultaneously. We model a mechanism in which agents are able to use any amount of incomplete preference information ...

To secure good deals, an agent may engage in multiple concurrent negotiations for a particular good or service. However for this to be effective, the agent needs to carefully coordinate its negotiations. At a basic level, such coordination should ensure ...

This paper discusses the strengths and weaknesses of non-monotonic-offers in alternating-offer bargaining protocol. It is commonly assumed that bargainers submit monotonic offers over time, which correspond to their belief revisions. However, through ...

This paper studies bilateral multi-issue negotiation between self-interested agents. The outcome of such encounters depends on two key factors: the agenda (i.e., the set of issues under negotiation) and the negotiation procedure (i.e., whether the ...

Research on coalition formation usually assumes the values of potential coalitions to be known with certainty. Furthermore, settings in which agents lack sufficient knowledge of the capabilities of potential partners is rarely, if ever, touched upon. We ...

Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to jointly maximize a reward function. Since the problem of finding the optimal ...

This work aims at defining and testing a set of techniques that enables agents to use information from several sources during learning. In Multiagent Systems (MAS) it is frequent that several agents need to learn similar concepts in parallel. In this ...

In this paper, we address the issue of rational communication behavior among autonomous agents. The goal is for agents to learn a policy to optimize the communication needed for proper coordination, given the communication cost. We extend our previously ...

Patrolling tasks can be encountered in a variety of real-world domains, ranging from computer network administration and surveillance to computer wargame simulations. It is a complex multi-agent task, which usually requires agents to coordinate their ...

Multi-Agent systems are being more and more widely used to address many distributed combinatorial real-world problems. One such problem is meeting scheduling (MS) that is characterized essentially by two features defined from both its inherently ...

COORDINATORs are coordination managers for fielded first responders. Each first response team is paired with a COORDINATOR coordination manager which is running on a mobile computing device. COORDINATORs provide decision support to first response teams ...

We investigate the applicability of multi-agent systems as a control approach for district heating systems. The consumers, i.e., the heat exchange systems, in current district heating systems are purely reactive devices without communication ...

This paper presents a multiagent architecture and algorithms for collaborative learning in distributed and heterogeneous business systems, where the participating agents have local, incomplete knowledge used to make predictions about parameters of a ...

This paper presents a multiagent architecture and methods for intelligent decision support in logistics processes. It extends current advanced prediction systems by providing the ability to combine history and situated reasoning. The contribution of the ...

The paper describes the architecture of Brown Universityýs agent, Botticelli, a finalist in the 2003 Trading Agent Competition in Supply Chain Management (TAC SCM). In TAC SCM, a simulated computer manufacturing scenario, Botticelli competes with other ...

The Supply Chain Management track of the international Trading Agents Competition (TAC SCM) was introduced in 2003 as a test-bed for researchers interested in building autonomous agents that act in dynamic supply chains. TAC SCM provides a challenging ...

The systems biology community is building increasingly complex models and simulations of cells and other biological entities. This community is beginning to look at alternatives to traditional representations such as those provided by ordinary ...

Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and preferences that pervade most nontrivial domains. However, this quantitative ...

Price wars - the iterative undercutting of prices to the marginal cost by competitors - have frequently emerged in models of economic systems populated by computational agents. In this paper, we explore the prevalence and severity of price wars in ...

We will demonstrate the Secure Wireless Agent Testbed (SWAT), a unique facility developed at Drexel University to study integration, networking and information assurance for next-generation wireless mobile agent systems. SWAT is an implemented system ...

The Autonomous Sciencecraft Experiment (ASE), currently flying onboard the Earth Observing-1 (EO-1) spacecraft, integrates several autonomy software technologies enabling autonomous science analysis and mission planning. The experiment demonstrates the ...

Distributed logistics and transportation is an important and emerging area of application for multi-agent systems, which has recently attracted a lot of research interest. In previous research ([1], [2]) we have proposed and developed novel techniques ...

Faster turnaround time of vessels and high berth productivity are paramount important factors of any container terminals in assuring competitive advantage in the shipping industry. The Paper proposes a hybrid BDI agent model with Neural Networks and ...