Index Catalog // ScholarsArchive@OSU

Optimization Across Decomposition : A Multiagent Model of Collaboration in Decomposed System Design

Creator:: Hulse, Daniel E.
Abstract:: Complex engineered systems design is a collaborative activity. To design a system, experts from the relevant disciplines must work together to create the best overall system from their individual components. This situation is analogous to a multiagent system in which agents solve individual parts of a larger problem. Current multiagent...
Resource Type:: Masters Thesis

D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

Creator:: Rahmattalabi, Aida
Abstract:: Autonomous multiagent teams can be used in complex exploration tasks to both expedite the exploration and improve the efficiency. However, use of multiagent systems presents additional challenges. Specifically, in domains where the agents' actions are tightly coupled, coordinating multiple agents to achieve cooperative behavior at the group level is difficult....
Resource Type:: Masters Thesis

Design of Complex Engineered Systems Using Multiagent Coordination

Creator:: Soria Zurita, Nicolás Francisco
Abstract:: This thesis is the combination of two research publications working toward a unified strategy in which the design of complex engineered systems can be completed using a multiagent coordination approach. Current engineered system modeling techniques segment large complex models into multiple groups to be simulated independently. These methods restrict the...
Resource Type:: Masters Thesis

Multi-Objective Optimization in Multiagent Systems

Creator:: Yliniemi, Logan Michael
Abstract:: Cooperative multiagent systems are used as solution concepts in many application domains including air traffic control, satellite communications, and extra planetary exploration. As systems become more distributed and complex, we observe three phenomena. First, these systems cannot be accurately modeled, rendering traditional model based control methods inadequate. Second, system parameters...
Resource Type:: Dissertation

Multiagent learning for locomotion and coordination in tensegrity robotics

Creator:: Iscen, Atil
Abstract:: Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...
Resource Type:: Dissertation

Theoretical and implementation improvements for difference evaluation functions

Creator:: Colby, Mitchell Kataichi
Abstract:: Multiagent learning with cooperative coevolutionary algorithms is a critical area of research, and is relevant to many real-world applications including air traffic control, distributed sensor network control, and game-theoretic applications such as border patrol. A key difficulty in multiagent learning is the credit assignment problem, where the impact of each...
Resource Type:: Dissertation

CLEAN learning to improve coordination and scalability in multiagent systems

Creator:: HolmesParker, Chris
Abstract:: Recent advances in multiagent learning have led to exciting new capabilities spanning fields as diverse as planetary exploration, air traffic control, military reconnaissance, and airport security. Such algorithms provide a tangible benefit over traditional control algorithms in that they allow fast responses, adapt to dynamic environments, and generally scale well....
Resource Type:: Dissertation

A multiagent approach to identifying innovation in design components

Creator:: Rebhuhn, Carrie M.
Abstract:: Innovation is a key element for a product to achieve market success, but identifying it within product or even defining the term is a difficult task. Identifying innovation has been approached in many different ways. Experts in design engineering may identify innovative designs based on an analysis of a product's...
Resource Type:: Masters Thesis

A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control

Creator:: Sills, Stephen
Abstract:: Recent work has shown humanoid robots with spinal columns, instead of rigid torsos, benefit from both better balance and an increased ability to absorb external impact. Similarly, snake robots have shown promise as a viable option for exploration in confined spaces with limited human access, such as during power plant...
Resource Type:: Masters Thesis

Coevolution and transfer learning in a point-to-point fleet coordination problem

Creator:: Yliniemi, Logan Michael
Abstract:: In this work we present a multiagent Fleet Coordination Problem (FCP). In this formulation, agents seek to minimize the fuel consumed to complete all deliveries while maintaining acceptable on-time delivery performance. Individual vehicles must both (i) bid on the rights to deliver a load of goods from origin to destination...
Resource Type:: Masters Thesis

Combining coordination mechanisms to improve performance in multi-robot teams

Creator:: Nasroullahi, Ehsan
Abstract:: Coordination is essential to achieving good performance in cooperative multiagent systems. To date, most work has focused on either implicit or explicit coordination mechanisms, while relatively little work has focused on the benefits of combining these two approaches. In this work we demonstrate that combining explicit and implicit mechanisms can...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

Optimization Across Decomposition : A Multiagent Model of Collaboration in Decomposed System Design

D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

Design of Complex Engineered Systems Using Multiagent Coordination

Multi-Objective Optimization in Multiagent Systems

Multiagent learning for locomotion and coordination in tensegrity robotics

Theoretical and implementation improvements for difference evaluation functions

CLEAN learning to improve coordination and scalability in multiagent systems

A multiagent approach to identifying innovation in design components

A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control

Coevolution and transfer learning in a point-to-point fleet coordination problem

Combining coordination mechanisms to improve performance in multi-robot teams

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