Bio-inspired multi-agent systems for reconfigurable manufacturing systems

The current market’s demand for customization and responsiveness is a major challenge for producing intelligent, adaptive manufacturing systems. The Multi-Agent System (MAS) paradigm offers an alternative way to design this kind of system based on decentralized control using distributed, autonomous agents, thus replacing the traditional centralized control approach. The MAS solutions provide modularity, flexibility and robustness, thus addressing the responsiveness property, but usually do not consider true adaptation and re-configuration. Understanding how, in nature, complex things are performed in a simple and effective way allows us to mimic nature’s insights and develop powerful adaptive systems that able to evolve, thus dealing with the current challenges imposed on manufactur- ing systems. The paper provides an overview of some of the principles found in nature and biology and analyses the effectiveness of bio-inspired methods, which are used to enhance multi-agent systems to solve complex engineering problems, especially in the manufacturing field. An industrial automation case study is used to illustrate a bio-inspired method based on potential fields to dynamically route pallets

La ingeniería de proyectos: ¿Cómo se forja la tecnosfera de una sociedad responsable?

Este libro es el producto de un conjunto de conferencias realizadas durante el año 2018 en la Escuela Politécnica Superior, como actividad de divulgación de la investigación. En estas actividades de difusión se recogen contribuciones del grupo de investigación sobre ingeniería y dirección de proyectos, sostenibilidad y diseño industrial de productos. Todas las conferencias han sido impartidas por los autores, abarcando temas de ingeniería y dirección de proyectos desde las ciencias de la complejidad; el proyecto y su gestión desde la ingeniería y la dinámica de sistemas; la fractura metabólica, la economía circular, el proyecto autopoyético; la articulación trialéctica del conocimiento científico, técnico y social en la ingeniería y la gestión de proyectos; la perspectiva de ciencia, tecnología y sociedad; las tecnologías de creación proyectual desde las herramientas euclidianas hasta el open BIM e Industria 4.0.; el proyecto como metodología instruccional desde la teoría de Vygotsky para el pensamiento afectivo complejo. El papel de la ingeniería de proyectos a menudo se entiende como enlace entre la dirección del proyecto y las disciplinas técnicas involucradas en el mismo. Por ello se deben tener los conocimientos suficientes de las diversas disciplinas, siendo habitual también que sea el principal punto de contacto técnico para el consumidor. En la actualidad la industria está inmersa en un proceso de cambio, llamado cuarta revolución industrial o Industria 4.0, caracterizado por la producción digital, inteligente, en red y en gran parte auto-gestionable; lograda a través de la unión de técnicas de producción, tecnologías de la información (TI) e Internet. Esta nueva fase de industrialización y automatización puede entenderse como una gran oportunidad para nuevas oportunidades, a la vez que existen desafíos considerables. Con estas condiciones de contorno, a lo largo del presente libro se exploran distintas aproximaciones a los sistemas técnicos sostenibles, la importancia de la inclusión del concepto de sostenibilidad y economía circular en la industria y del desarrollo de marcos teóricos que tengan en cuenta la complejidad de la realidad

TOKEN-BASED APPROACH FOR SCALABLE TEAMCOORDINATION

To form a cooperative multiagent team, autonomous agents are required to harmonize activities and make the best use of exclusive resources to achieve their common goal. In addition, to handle uncertainty and quickly respond to external environmental events, they should share knowledge and sensor in formation. Unlike small team coordination, agents in scalable team must limit the amount of their communications while maximizing team performance. Communication decisions are critical to scalable-team coordination because agents should target their communications, but these decisions cannot be supported by a precise model or by complete team knowledge.The hypothesis of my thesis is: local routing of tokens encapsulating discrete elements of control, based only on decentralized local probability decision models, will lead to efficient scalable coordination with several hundreds of agents. In my research, coordination controls including all domain knowledge, tasks and exclusive resources are encapsulated into tokens. By passing tokens around, agents transfer team controls encapsulated in the tokens. The team benefits when a token is passed to an agent who can make use of it, but communications incur costs. Hence, no single agent has sole responsible over any shared decision. The key problem lies in how agents make the correct decisions to target communications and pass tokens so that they will potentially benefit the team most when considering communication costs.My research on token-based coordination algorithm starts from the investigation of random walk of token movement. I found a little increase of the probabilities that agents make the right decision to pass a token, the overall efficiency of the token movement could be greatly enhanced. Moreover, if token movements are modeled as a Markov chain, I found that the efficiency of passing tokens could be significantly varied based on different network topologies.My token-based algorithm starts at the investigation of each single decision theoretic agents. Although under the uncertainties that exist in large multiagent teams, agents cannot act optimal, it is still feasible to build a probability model for each agents to rationally pass tokens. Specifically, this decision only allow agent to pass tokens over an associate network where only a few of team members are considered as token receiver.My proposed algorithm will build each agent's individual decision model based on all of its previously received tokens. This model will not require the complete knowledge of the team. The key idea is that I will make use of the domain relationships between pairs of coordination controls. Previously received tokens will help the receiver to infer whether the sender could benefit the team if a related token is received. Therefore, each token is used to improve the routing of other tokens, leading to a dramatic performance improvement when more tokens are added. By exploring the relationships between different types of coordination controls, an integrated coordination algorithm will be built, and an improvement of one aspect of coordination will enhance the performance of the others

ACODV : Ant Colony Optimisation Distance Vector routing in ad hoc networks

A mobile ad hoc network is a collection of wireless mobile devices which dynamically form a temporary network, without using any existing network infrastructure or centralised administration. Each node in the network effectively becomes a router, and forwards packets towards the packet’s destination node. Ad hoc networks are characterized by frequently changing network topology, multi-hop wireless connections and the need for dynamic, efficient routing protocols. The overarching requirement for low power consumption, as battery powered sensors may be required to operate for years without battery replacement; An emphasis on reliable communication as opposed to real-time communication, it is more important for packets to arrive reliably than to arrive quickly; and Very scarce processing and memory resources, as these sensors are often implemented on small low-power microprocessors. This work provides overviews of routing protocols in ad hoc networks, swarm intelligence, and swarm intelligence applied to ad hoc routing. Various mechanisms that are commonly encountered in ad hoc routing are experimentally evaluated under situations as close to real-life as possible. Where possible, enhancements to the mechanisms are suggested and evaluated. Finally, a routing protocol suitable for such low-power sensor networks is defined and benchmarked in various scenarios against the Ad hoc On-Demand Distance Vector (AODV) algorithm.Dissertation (MSc)--University of Pretoria, 2005.Computer ScienceUnrestricte

Reticulate Evolution: Symbiogenesis, Lateral Gene Transfer, Hybridization and Infectious heredity

info:eu-repo/semantics/publishedVersio

Using MapReduce Streaming for Distributed Life Simulation on the Cloud

Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp

Psychotropes: Models of Authorship, Psychopathology, and Molecular Politics in Aldous Huxley and Philip K. Dick

Among the so-called “anti-psychiatrists” of the 1960s and ‘70s, it was Félix Guattari who first identified that psychiatry had undergone a “molecular revolution.” It was in fact in a book titled Molecular Revolutions, published in 1984, that Guattari proposed that psychotherapy had become, in the de¬cades following the Second World War, far less personal and increasingly alienating. The newly “molecular” practices of psychiatry, Guattari mourned, had served only to fundamentally distance both patients and practitioners from their own minds; they had largely restricted our access, he suggested, to human subjectivity and consciousness. This thesis resumes Guattari’s work on the “molecular” model of the subject. Extending on Guattari’s various “schizoanalytic metamodels” of hu¬man consciousness and ontology, it rigorously meditates on a simple ques¬tion: Should we now accept the likely finding that there is no neat, singular, reductive, utilitarian, or unifying “model” for thinking about the human subject, and more specifically the human “author”? Part 1 of this thesis carefully examines a range of psychoanalytic, psychi¬atric, philosophical, and biomedical models of the human. It studies and re¬formulates each of them in turn and, all the while, returns to a fundamental position: that no single model, nor combination of them, will suffice. What part 1 seeks to demonstrate, then, is that envisioning these models as differ¬ent attempts to “know” the human is fruitless—a futile game. Instead, these models should be understood in much the same way as literary critics treat literary commonplaces or topoi; they are akin, I argue, to what Deleuze and Guattari called “images of thought.” In my terminology, they are “psycho¬tropes”: images with their own particular symbolic and mythical functions. Having thus developed a range of theoretical footholds in part 1, part 2 of the thesis—beginning in chapter 4—will put into practice the work of this first part. It will do so by examining various representations of authorship by two authors in particular: Aldous Huxley and Philip K. Dick. This part will thus demonstrate how these author figures function as “psychoactive scriv¬eners”: they are fictionalising philosophers who both produce and quarrel with an array of paradigmatic psychotropes, disputing those of others and inventing their own to substitute for them. More than this, however, the second part offers a range of detailed and original readings of these authors’s psychobiographies; it argues that even individual authors such as Huxley and Dick can be seen as “psychotropic.” It offers, that is, a series of broad-ranging and speculative explanations for the ideas and themes that appear in their works—explanations rooted in the theoretical work of the first part. Finally, this thesis concludes by reaffirming the importance of these authors’s narcoliteratures—both for present-day and future literary studies, and beyond. For while Huxley and Dick allow us to countenance afresh the range of failures in the history and philosophy of science, they also prom¬ise to instruct us—and instruct science—about the ways in which we might move beyond our received mimetic models of the human

Fabricate 2020

Fabricate 2020 is the fourth title in the FABRICATE series on the theme of digital fabrication and published in conjunction with a triennial conference (London, April 2020). The book features cutting-edge built projects and work-in-progress from both academia and practice. It brings together pioneers in design and making from across the fields of architecture, construction, engineering, manufacturing, materials technology and computation. Fabricate 2020 includes 32 illustrated articles punctuated by four conversations between world-leading experts from design to engineering, discussing themes such as drawing-to-production, behavioural composites, robotic assembly, and digital craft

Wasp Nests for Self-Configurable Factories

Agent-based approaches to manufacturing scheduling and control have gained increasing attention in recent years. Such approaches are attractive because they offer increased robustness against the unpredictability of factory operations. But the specification of local coordination policies that give rise to efficient global performance and effectively adapt to changing circumstances remains an interesting challenge. In this paper, we introduce a new approach to this coordination problem, drawing on various aspects of a computational model of how wasp colonies coordinate individual activities and allocate tasks to meet the collective needs of the nest. We focus specifically on the problem of configuring machines in a factory to best satisfy (potentially changing) product demands over time. Our system models the set of jobs queued in front of any given machine as a wasp nest, wherein wasp-like agents interact to form a social hierarchy and prioritize the jobs that they represent. Other was..