Multi-agent systems (MAS) have been of interest to many researchers during the last decades. This thesis focuses on multi-robot systems (MRS) and programmable matter as two types of MAS. Regarding MRS, the focus is on the 'mergeable nervous system' (MNS) concept which allows the robots to connect to one another and establish a communication network through self-organization and then use the network to temporarily report sensing events and cede authority to a single robot in the system. Here, in a collective perception scenario, we experimentally evaluate the performance of an MNS-enabled approach and compare it with that of several decentralized benchmark approaches. We show that an MNS-enabled approach is high-performing, fault-tolerant, and scalable, so it is an appropriate approach for MRS. As a goal of the thesis, using an MNS-enabled approach, we present for the first time a comprehensive comparison of control architectures in multi-robot systems, which includes a comparison of accuracy, efficiency, speed, energy consumption, scalability, and fault tolerance. Our comparisons provide designers of multi-robot systems with a better understanding for selecting the best-performing control depending on the system's objectives. Additionally, as a separate goal, we design a high-level leader based programmable matter, which can perform some basic primitive operations in a grid environment, and construct it using lower-level organisms. We design and implement deterministic algorithms for "curl" operation of this high-level matter, an instance of shape formation problem. We prove the correctness of the presented algorithms, analytically determine their complexity, and experimentally evaluate their performance.

This study sets out to explore the relationship between news media coverage on serial killers and their behavior. As a result of the lack of previous research on this topic, utilizing past research on a few historically well-known serial killers and news media reports about those serial killers, this study attempts to determine if news media has any effect on a serial killer’s behavior prior to apprehension. After a review of the history of serial murder and the past findings about serial murderers, as well as background on the history of the media coverage of crime, this study will look closely at the media coverage and behavior of Dennis Rader, the BTK Killer; David Berkowitz, Son of Sam; and John Allen Muhammad and John Lee Malvo, the D.C. Snipers. These three cases received unparalleled attention from the media and involved a unique two-way communication between the offenders and the media/police. The relatively new role of the Public Information Officer in law enforcement agencies will be briefly reviewed to examine the expansion of their role in relation to considering the impact the media has on serial murderer behavior. The subsequent findings of this research will aid in increasing knowledge of serial killer behavior in relation to news media coverage so that news media can be a potential tool used by law enforcement to better control and predict serial killer behavior and aid in their apprehension.

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