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These proceedings contain the papers presented at the 10th International Workshop on Automated Specification and Verification of Web Systems (WWV 2014), which was held on 18 July 2014 in Vienna, Austria, as a satellite workshop of the…

Logic in Computer Science · Computer Science 2014-09-09 Maurice H. ter Beek , António Ravara

This volume contains the proceedings of the Fourth and Fifth International Workshops on Trends in Functional Programming in Education, TFPIE 2015 and TFPIE 2016, which were held on June 2, 2015 in Sophia-Antipolis, France, and on June 7,…

Programming Languages · Computer Science 2016-11-29 Johan Jeuring , Jay McCarthy

In Onur et al. ["Cooperative density estimation in random wireless ad hoc networks," IEEE Commun. Lett., vol. 16, no. 3, 269 pp. 331-333, Mar. 2012], two novel density estimation (DE) approaches in wireless random networks were introduced…

Information Theory · Computer Science 2018-07-09 Yongchang Hu

Co-evolutionary processes are according to the evolutionary urban theory at the center of urban systems dynamics. Their empirical observation or within models of simulation remains however relatively rare. This chapter is focused on the…

Physics and Society · Physics 2020-01-17 Juste Raimbault

The aim of the workshop was to bring together experts working on open-domain dialogue research. In this speedily advancing research area many challenges still exist, such as learning information from conversations, and engaging in a…

Computation and Language · Computer Science 2024-11-20 Yvette Graham , Mohammed Rameez Qureshi , Haider Khalid , Gerasimos Lampouras , Ignacio Iacobacci , Qun Liu

This volume contains the papers presented at WLPE'06: the 16th Workshop on Logic-based Methods in Programming Environments held on August 16, 2006 in the Seattle Sheraton Hotel and Towers, Seattle, Washington (USA). It was organised as a…

Programming Languages · Computer Science 2007-05-23 Wim Vanhoof , Susana Munoz-Hernandez

In August of 2021, the Santa Fe Institute hosted a workshop on collective intelligence as part of its Foundations of Intelligence project. This project seeks to advance the field of artificial intelligence by promoting interdisciplinary…

Artificial Intelligence · Computer Science 2022-10-12 Tyler Millhouse , Melanie Moses , Melanie Mitchell

In this work, we propose a distributed adaptive observer for a class of nonlinear networked systems inspired by biophysical neural network models. Neural systems learn by adjusting intrinsic and synaptic weights in a distributed fashion,…

Systems and Control · Electrical Eng. & Systems 2022-09-22 Thiago B. Burghi , Timothy O'Leary , Rodolphe Sepulchre

This volume contains the proceedings of F-IDE 2019, the fifth international workshop on Formal Integrated Development Environment, which was held on October 7, 2019 in Porto, Portugal, as part of FM'19, the 3rd World Congress on Formal…

Software Engineering · Computer Science 2019-12-23 Rosemary Monahan , Virgile Prevosto , Jose Proença

We explore the Hawk-Dove game on networks with topologies ranging from regular lattices to random graphs with small-world networks in between. This is done by means of computer simulations using several update rules for the population…

Physics and Society · Physics 2009-11-13 M. Tomassini , L. Luthi , M. Giacobini

Driven by the need to solve increasingly complex optimization problems in signal processing and machine learning, there has been increasing interest in understanding the behavior of gradient-descent algorithms in non-convex environments.…

Optimization and Control · Mathematics 2019-07-04 Stefan Vlaski , Ali H. Sayed

This volume contains the proceedings of the Combined 23nd International Workshop on Expressiveness in Concurrency and the 13th Workshop on Structural Operational Semantics (EXPRESS/SOS 2016) which was held on 22 August 2016 in Qu\'ebec…

Logic in Computer Science · Computer Science 2016-08-10 Daniel Gebler , Kirstin Peters

In this chapter, we consider the problem of designing protection strategies to contain spreading processes in complex cyber-physical networks. We illustrate our ideas using a family of bio-motivated spreading models originally proposed in…

Social and Information Networks · Computer Science 2016-09-30 Victor M. Preciado , Michael Zargham , Chinwendu Enyioha , Cameron Nowzari , Shuo Han , Masaki Ogura , Ali Jadbabaie , George Pappas

A key advance in learning generative models is the use of amortized inference distributions that are jointly trained with the models. We find that existing training objectives for variational autoencoders can lead to inaccurate amortized…

Machine Learning · Computer Science 2018-05-31 Shengjia Zhao , Jiaming Song , Stefano Ermon

A model for artificial evolution in native x86 Windows systems has been developed at the end of 2010. In this text, further improvements and additional analogies to natural microbiologic processes are presented. Several experiments indicate…

Neural and Evolutionary Computing · Computer Science 2011-08-09 Thomas Sperl

Information diffusion in online social networks is affected by the underlying network topology, but it also has the power to change it. Online users are constantly creating new links when exposed to new information sources, and in turn…

Social and Information Networks · Computer Science 2016-04-04 Mehrdad Farajtabar , Yichen Wang , Manuel Gomez Rodriguez , Shuang Li , Hongyuan Zha , Le Song

This volume contains the proceedings of F-IDE 2016, the third international workshop on Formal Integrated Development Environment, which was held as an FM 2016 satellite event, on November 8, 2016, in Limassol (Cyprus). High levels of…

Programming Languages · Computer Science 2017-01-30 Catherine Dubois , Paolo Masci , Dominique Méry

Owing to the influence of real-world networks both in science and society, numerous mathematical models have been developed to understand the structure and evolution of these systems, particularly in a temporal context. Recent advancements…

Probability · Mathematics 2025-10-29 Sayan Banerjee , Shankar Bhamidi , Partha Dey , Akshay Sakanaveeti

A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. However, the role played by the environment in influencing the…

Neural and Evolutionary Computing · Computer Science 2018-04-23 Andreas Steyven , Emma Hart , Ben Paechter