TY - JOUR T1 - Boolean Networks and Their Applications in Science and Engineering JF - Complexity Y1 - 2020 A1 - Valverde, Jose C. A1 - Mortveit, Henning S. A1 - Gershenson, Carlos A1 - Shi, Yongtang VL - 2020 UR - https://doi.org/10.1155/2020/6183798 ER - TY - JOUR T1 - Multimodel agent-based simulation environment for mass-gatherings and pedestrian dynamics JF - Future Generation Computer Systems Y1 - 2018 A1 - Vladislav Karbovskii A1 - Daniil Voloshin A1 - Andrey Karsakov A1 - Alexey Bezgodov A1 - Carlos Gershenson AB - Abstract The increasing interest in complex phenomena, especially in crowd and pedestrian dynamics, has conditioned the demand not only for more sophisticated autonomous models but also for mechanisms that would bring these models together. This paper presents a multimodel agent-based simulation technique based on the incorporation of multiple modules. Two key principles are presented to guide this integration: a common abstract space where entities of different models interact, and commonly controlled agents–-abstract actors operating in the common space, which can be handled by different agent-based models. In order to test the proposed methodology, we run a set of simulations of cinema building evacuation using the general-purpose {PULSE} simulation environment. In this paper we utilize crowd pressure as a metric to estimate the capacity of different emergent conditions to traumatically affect pedestrians in the crowd. The proposed approach is evaluated through a series of experiments simulating the emergency evacuation from a cinema building to the city streets, where building and street levels are reproduced in heterogeneous models. This approach paves the way for modeling realistic city-wide evacuations. VL - 79 UR - http://dx.doi.org/10.1016/j.future.2016.10.002 ER - TY - CHAP T1 - Self-Organization and Artificial Life: A Review T2 - The 2018 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE) Y1 - 2018 A1 - Gershenson, Carlos A1 - Trianni, Vito A1 - Werfel, Justin A1 - Sayama, Hiroki ED - Takashi Ikegami ED - Nathaniel Virgo ED - Olaf Witkowski ED - Mizuki Oka ED - Reiji Suzuki ED - Hiroyuki Iizuka AB - Self-organization has been an important concept within a number of disciplines, which Artificial Life (ALife) also has heavily utilized since its inception. The term and its implications, however, are often confusing or misinterpreted. In this work, we provide a mini-review of self-organization and its relationship with ALife, aiming at initiating discussions on this important topic with the interested audience. We first articulate some fundamental aspects of self-organization, outline its usage, and review its applications to ALife within its soft, hard, and wet domains. We also provide perspectives for further research. JF - The 2018 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE) PB - MIT Press CY - Tokyo, Japan UR - https://www.mitpressjournals.org/doi/abs/10.1162/isal_a_00094 ER - TY - JOUR T1 - Multimodel agent-based simulation environment for mass-gatherings and pedestrian dynamics JF - Future Generation Computer Systems Y1 - 2016 A1 - Vladislav Karbovskii A1 - Daniil Voloshin A1 - Andrey Karsakov A1 - Alexey Bezgodov A1 - Carlos Gershenson KW - Urgent computing AB - Abstract The increasing interest in complex phenomena, especially in crowd and pedestrian dynamics, has conditioned the demand not only for more sophisticated autonomous models but also for mechanisms that would bring these models together. This paper presents a multimodel agent-based simulation technique based on the incorporation of multiple modules. Two key principles are presented to guide this integration: a common abstract space where entities of different models interact, and commonly controlled agents–-abstract actors operating in the common space, which can be handled by different agent-based models. In order to test the proposed methodology, we run a set of simulations of cinema building evacuation using the general-purpose \{PULSE\} simulation environment. In this paper we utilize crowd pressure as a metric to estimate the capacity of different emergent conditions to traumatically affect pedestrians in the crowd. The proposed approach is evaluated through a series of experiments simulating the emergency evacuation from a cinema building to the city streets, where building and street levels are reproduced in heterogeneous models. This approach paves the way for modeling realistic city-wide evacuations. UR - http://dx.doi.org/10.1016/j.future.2016.10.002 ER - TY - CHAP T1 - Self-organized UAV Traffic in Realistic Environments T2 - Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on Y1 - 2016 A1 - Csaba Virágh A1 - Máté Nagy A1 - Carlos Gershenson A1 - Gábor Vásárhelyi JF - Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on PB - IEEE CY - Daejeon, South Korea ER - TY - CONF T1 - The Role of Redundancy in the Robustness of Random {Boolean} Networks T2 - {Artificial Life X}, Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems. Y1 - 2006 A1 - Carlos Gershenson A1 - Stuart A. Kauffman A1 - Ilya Shmulevich ED - Rocha, L. M. ED - L. S. Yaeger ED - M. A. Bedau ED - D. Floreano ED - R. L. Goldstone ED - A. Vespignani AB - Evolution depends on the possibility of successfully exploring fitness landscapes via mutation and recombination. With these search procedures, exploration is difficult in "rugged" fitness landscapes, where small mutations can drastically change functionalities in an organism. Random Boolean networks (RBNs), being general models, can be used to explore theories of how evolution can take place in rugged landscapes; or even change the landscapes. In this paper, we study the effect that redundant nodes have on the robustness of RBNs. Using computer simulations, we have found that the addition of redundant nodes to RBNs increases their robustness. We conjecture that redundancy is a way of "smoothening" fitness landscapes. Therefore, redundancy can facilitate evolutionary searches. However, too much redundancy could reduce the rate of adaptation of an evolutionary process. Our results also provide supporting evidence in favour of Kauffman's conjecture (Kauffman, 2000, p.195). JF - {Artificial Life X}, Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems. PB - MIT Press UR - http://uk.arxiv.org/abs/nlin.AO/0511018 ER -