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Full-Text Articles in Computer Engineering
Techniques And Directions For Building Very Large Agent Teams, Paul Scerri, Joseph A. Giampapa, Katia Sycara
Techniques And Directions For Building Very Large Agent Teams, Paul Scerri, Joseph A. Giampapa, Katia Sycara
Joseph Andrew Giampapa
We have developed probabilistic algorithms that leverage the associates network for distributed plan instantiation, role allocation, information sharing and adjustable autonomy with a team. By developing such new algorithms, we have been able to build teams of hundreds of cooperating agents, and test specific behaviors among tens of thousands of agents. In this paper, we describe the algorithms that we have developed, the tests that we subjected them to, and sketch some of the key challenges that remain to be addressed.
Evaluation Criteria For The Morse Simulation Environment, Joseph A. Giampapa
Evaluation Criteria For The Morse Simulation Environment, Joseph A. Giampapa
Joseph Andrew Giampapa
Abstract: "This document is intended for researchers who will be using the MORSE simulator for their team-oriented experiments. It specifies some initial criteria that can be used to evaluate the performance of the test subjects. This document also specifies the log events that are generated by MORSE and that can be used for such evaluations."
A Review Of Research Literature On Bilateral Negotiations, Cuihong Li, Joseph Giampapa, Katia Sycara-Cyranski
A Review Of Research Literature On Bilateral Negotiations, Cuihong Li, Joseph Giampapa, Katia Sycara-Cyranski
Joseph Andrew Giampapa
Abstract: "Automated bilateral negotiations are an important mechanism to realize efficient distributed matching in the Navy detailing system, and the presence of outside options is an outstanding feature of the negotiations. In this report we provide an extensive literature review on the research of bilateral negotiations in the fields of Economics and Artificial Intelligence. Three important dimensions are described to identify the negotiation environment and to build a research model. Preliminary considerations and suggestions are given in these dimensions on modelling the system. The review suggests that negotiations with outside options is a new and important research problem, yet it …
Probabilistic Verification Of Coordinated Multi-Robot Missions, Sagar J. Chaki, Joseph A. Giampapa
Probabilistic Verification Of Coordinated Multi-Robot Missions, Sagar J. Chaki, Joseph A. Giampapa
Joseph Andrew Giampapa
Robots are increasingly used to perform a wide variety of tasks, especially those involving dangerous or inaccessible locations. As the complexity of such tasks grow, robots are being deployed in teams, with complex coordination schemes aimed at maximizing the chance of mission success. Such teams operate under inherently uncertain conditions -- the robots themselves fail, and have to continuously adapt to changing environmental conditions. A key challenge facing robotic mission designers is therefore to construct a mission -- i.e., specify number and type of robots, number and size of teams, coordination and planning mechanisms etc. -- so as to maximize …
Financial News Analysis For Intelligent Portfolio Management, Young-Woo Seo, Joseph A. Giampapa, Katia Sycara
Financial News Analysis For Intelligent Portfolio Management, Young-Woo Seo, Joseph A. Giampapa, Katia Sycara
Joseph Andrew Giampapa
Abstract: "In this paper, we present Warren, a multi-agent system for intelligent portfolio management, which is motivated by the great benefits of working in teams within the domain of Distributed Artificial Intelligence (DAI) and TextMiner which takes advantage of information retrieval techniques to complement quantitative financial information. In the portfolio management domain, software agents that evaluate the risks associated with the individual companies in a portfolio should be able to read news articles that indicate the financial outlook of a company. There is a positive correlation between news reports on a company's financial outlook and its attractiveness as an investment. …