This edited book serves as a companion volume to the Seventh INFORMS Telecommunications Conference held in Boca Raton, Florida, March 7-10, 2004. The 18 papers in this book were carefully selected after a thorough re view process. The research presented within these articles focuses on the latest methodological developments in three key areas—pricing of telecommunica tions services, network design, and resource allocation—that are most relevant to current telecommunications planning. With the global deregulation of the telecommunications industry, effective pricing and revenue management, as well as an understanding of competi tive pressures are key factors that will improve revenue in telecommunica tions companies. Chapters 1-5 address these topics by focusing on pricing of telecommunications services. They present some novel ideas related to pricing (including auction-based pricing of network bandwidth) and modeling compe tition in the industry. The successful telecommunications companies of the future will likely be the ones that can minimize their costs while meeting customer expectations. In this context the optimal design/provisioning of telecommunication networks plays an important role. Chapters 6-12 address these topics by focusing on net work design for a wide range of technologies including SONET, SDH, WDM, and MPLS. They include the latest research developments related to the mod eling and solving of network design problems. Day-to-day management/control of telecommunications networks is depen dent upon the optimal allocation of resources. Chapters 13-18 provide insight ful solutions to several intriguing resource allocation problems.

Despite the centrality of rationality to our identity as a species (let alone the scientific endeavour), and the fact that it has been studied for several millennia, the present state of our knowledge of the mechanisms underlying logical reasoning remains highly fragmented. For example, a recent review concluded that none of the extant (12!) theories provide an adequate account (Khemlani & Johnson- Laird, 2011), while other authors argue that we are on the brink of a paradigm change, where the old binary logic framework will be washed away and replaced by more modern (and correct) probabilistic and Bayesian approaches (see for example Elqayam & Over, 2012; Oaksford & Chater, 2009; Over, 2009). Over the past 15 years neuroscience brain imaging techniques and patient studies have been used to map out the functional neuroanatomy of reasoning processes. The aim of this research topic is to discuss whether this line of research has facilitated, hindered, or has been largely irrelevant for understanding of reasoning processes. The answer is neither obvious nor uncontroversial. We would like to engage both the cognitive and the neuroscience community in this discussion. Some of the questions of interest are: How have the data generated by the patient and neuroimaging studies: • influenced our thinking about modularity of deductive reasoning • impacted the debate between mental logic theory, mental model theory and the dual mechanism accounts • affected our thinking about dual mechanism theories • informed discussion of the relationship between induction and deduction • illuminated the relationship between language, visual spatial processing and reasoning • affected our thinking about the unity of deductive reasoning processes Have any of the cognitive theories of reasoning helped us explain deficits in certain patient populations? Do certain theories do a better job of this than others? Is there any value to localizing cognitive processes and identifying dissociations (for reasoning and other cognitive processes)? What challenges have neuroimaging data raised for cognitive theories of reasoning? How can cognitive theory inform interpretation of patient data or neuroimaging data? How can patient data or neuroimaging data best inform cognitive theory? This list of questions is not exhaustive. Manuscripts addressing other related questions are welcome. We are interested in hearing from skeptics, agnostics and believers, and welcome original research contributions as well as reviews, methods, hypothesis & theory papers that contribute to the discussion of the current state of our knowledge of how neuroscience is (or is not) helping us to deepen our understanding of the mechanisms underlying logical reasoning processes. References Elqayam, S., & Over, D. E. (2012). Probabilities, beliefs, and dual processing: the paradigm shift in the psychology of reasoning. Mind & Society, 11(1), 27–40. doi:10.1007/s11299-012-0102-4 Khemlani, S. S., & Johnson-Laird, P. N. (2011). Theories of the syllogism: A meta-analysis, (571). Oaksford, M., & Chater, N. (2009). Précis of bayesian rationality: The probabilistic approach to human reasoning. The Behavioral and brain sciences, 32(1), 69–84; discussion 85–120. doi:10.1017/S0140525X09000284 Over, D. E. (2009). New paradigm psychology of reasoning. Thinking & Reasoning, 15(4), 431–438. doi:10.1080/13546780903266188

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2018, and the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2018, held in Funchal-Madeira, Portugal in March 2018. The 18 full papers presented during SMARTGREENS 2018 and VEHITS 2018 were carefully reviewed and selected from numerous submissions. The papers reflect topics such as smart cities and green ICT systems; vehicle technology and intelligent transport systems.

This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.

This book constitutes the refereed proceedings of the 11th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2000, held in Austin, TX, USA in December 2000. The 21 revised full papers presented were carefully reviewed and selected from a total of 65 submissions. The book is divided into topical sections on architectures for internet management, fault management of services and networks, inter-domain management, event handling for management services, QoS management, and management architectures.