Self-organizing software from natural to artificial adaptation

From natural to artificial adaptation\span\n \u00a0\u00a0. Neural networks and statistical models cornell university. As such, the biohybrid system will provide new and unique adaptive, selforganizing and evolving properties deriving from the fusion of natural and artificial neuronal elements into a new plastic entity and will represent a fundamental step towards the development of novel braininspired computing architectures as well as intelligent autonomous. Complex systems are usually difficult to design and control. Each node i in the map contains a model vector,which has the same number of elements as the input vector. We start outlining the properties related to complexity and selforganization in natural and artificial systems. Bioinspired mechanisms for artificial selforganised systems. Although well accepted as the product of adaptation, the dynamics underlying the evolutionary buildup of complex. Thealleged intelligence of artificial neural networks is a matter of dispute. Selforganizing software systems are an increasingly attractive approach to highly. Given the inherent complexity of most cyberphysical systems, adaptivity is desired, as predictability is limited. It is unique to other existing approaches for software adaptation because it introduces the notions of differentiation, dedifferentiation, and cellular division in cellular slime molds, e.

Geihs, 2006, guest editorial of special issue, communications of the acm, 493. Then we describe the computational models that are better suited. How evolution guides complexity pubmed central pmc. We solve two linked control problems for the artificial hexapod amoswd06 fig. The book offers dedicated chapters on concepts such as selforganisation, emergence in natural systems, software agents, stigmergy, gossip, cooperation and immune systems. Selforganising applications dynamically change their functionality and structure. Design patterns for self organizing software in the last decade, self organizing mechanisms have been applied in different domains, achieving results that may go beyond what is possible with more traditional self adaptation approaches, as documented for example in the saso conference series4. A diverse group of researchers in mathematics, physics, and several branches of biology have argued that self organization should be placed alongside natural selection as a complementary mechanism of evolution nicolis and prigogine 1977, kauffman 1993, camazine et al.

Software engineering for selforganizing systems the knowledge. For example, consider how lightload sensitive cells in can control and optimize entire plant growth for sunlight or for difficult terrains. The book then explains how to engineer artificial self organising software, in particular it examines methodologies and middleware infrastructures. Self organization in natural systems demonstrates very reliable and scalable collective behavior without using any central elements. Artificial life attempts to understand the essential general properties of living systems by synthesizing lifelike behavior in software, hardware and biochemicals. From natural to artificial systems sfi studies in the sciences of. Emergence of complex structures from nonlinear interactions and noise in coevolving networks. The evolution of complexity is one of the prime features of life on earth.

Selforganizing architectures for digital signal processing daniele peri and salvatore gaglio. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. Selforganization, natural selection, and evolution. Living systems naturally adapt to changes in their environment, and artificial systems can benefit from exhibiting adaptation holland, 1975. Programmable selfadaptation selforganizing systems. These changes may stem from the software systems self internal causes, e. This phenomenon is applied in artificial neural networks in order to produce plasticity and adaptation in the last part we discuss about strengths and weaknesses of self organizing principles in order to engineer artificial systems. A glossary explaining concepts from complex systems, selforganisation artificial life, attractors, cellular automata, fractals, genetic algorithms, neural networks and similar idea with hot links to introductory articles on these subjects. Selforganizing software is the first book to offer an integrated view of selforganization. From natural to artificial adaptation natural computing series di marzo serugendo, giovanna, gleizes, mariepierre, karageorgos, anthony on. From natural to artificial adaptation natural computing series 2011 by serugendo, giovanna di marzo, gleizes, mariepierre, karageorgos, anthony isbn.

Selforganising software from natural to artificial adaptation. When providing collective robotic systems with self organizing principles, we are facing new problems of making self organization purposeful, self adapting to changing environments and faster, in order to meet requirements from a technical perspective. Selforganising software architectures georgiadis et al. Everyday low prices and free delivery on eligible orders. Most notable here are john hollands pioneering investigations of genetic algorithms and classifier systems 6, 8 see box 1. Self organization has also been observed in mathematical systems such as cellular automata. Selforganizing architectures for digital signal processing. A new scheme of relations is proposed between digital organism species, in which the predator eliminates only a prey species progeny at a larval stage. Selforganization, also called in the social sciences spontaneous order, is a process where. Adaptation and selforganizing systems authorstitles. It is shown that in this case, longterm coexistence between the predator and. Selforganizing software from natural to artificial. Adaptation and selforganizing systems authorstitles recent. Self organizing software systems are an increasingly attractive approach to highly distributed, decentralized, dynamic applications.

Facing complexity with adaptation and selforganization gershenson, carlos on. Bioinspired selfadaptive agents in distributed systems. The consequence of both behavior and interactions is. Proceedings of international icsc symposium on soft computing, nimes, france, september 1719, 1997, icsc academic press, millet, alberta, canada, pp. The software model used for this study is polyworld yaeger, 1994, an evolutionary model of a computational ecosystem, populated by haploid agents with a suite of primitive, neurally controlled behaviors move, turn, eat, mate, attack, light, and focus. Organization, selforganization, autonomy and emergence. Server based solutions for selforganizing networks elektor. Multiagent systems mas are widely used to model artificial self organizing systems mainly because agents are autonomous software systems that have the ability to estimate the plausibility of the behavior of real self organizing entities and their interactions. Selforganizing software is the first book to offer an integrated view of selforganization technologies applied to distributed systems. Cited examples of selforganizing behaviour also appear in the literature of many other disciplines, both in the natural sciences and in the social sciences such. Pdf selforganisation in natural systems inspiring self. Order, selforganization, adaptation, evolution, emergence and several other terms reminds us that as artificial systems advance, gaining complexity, it is expected for them to be compared to natural ones in both structure and function.

Theory of organization, selforganization, autonomy and emergence one of the major challenges of the new approach to engineering complex software system by harnessing principles such as selforganization or emergence is the lack of a formal theory that can underpin such systems, whether engineered or naturally grown. Selforganization is realized in the physics of nonequilibrium processes, and in chemical reactions, where it is often described as selfassembly. Physica d 42 1990 111 northholland emergent computation. Selforganizing software systems are an increasingly attractive approach to highly distributed, decentralized, dynamic applications. Request pdf selforganizing software from natural to artificial adaptation this chapter describes the context of selforganising systems. The evolution of networks across generations of evolving protocols has led to a complex mixture of deployed wireless systems. The subjects of ai and artificial life overlap, as living and flourishing in a changing and uncertain environment seem to require at least a rudimentary form. Links on complexity, selforganization and artificial life. Selforganizing systems home page mostly about cybernetic philosophy selforganizing systems. Neural networks and statistical models proceedings of the nineteenth annual sas users group international conference, april, 1994 warren s. Evolutionary algorithms form a subset of evolutionary computation in that they generally only involve techniques implementing mechanisms inspired by biological evolution such as reproduction, mutation, recombination, natural selection and survival of the fittest.

Artificial intelligence tools can aid sensor systems. The process of adaptation and continual selforganization cause these systems to interact continuously with the environment and compete against such similar systems for limited resources. Bioinspired mechanisms for artificial selforganised. Here i summarize different concepts and approaches that can facilitate selforganization in cyberphysical systems, and thus be exploited for design. Communications in computer and information science, vol 732. Selforganizing maps of words for natural language processing applications. The book then explains how to engineer artificial selforganising software, in particular it examines methodologies and middleware infrastructures. Decker complexity discussions from the point of view of constructivism and robert rosens theories complex systems research. A patternbased architectural style for selforganizing. Selforganization in natural systems demonstrates very reliable and scalable collective behavior without using any central elements. This coding has to contain the mechanisms allowing the adaptation.

Cited examples of self organizing behaviour also appear in the literature of many other disciplines, both in the natural sciences and in the social sciences such as economics or anthropology. This is based on the description of systems as self organizing. We have implemented and compared four biologically motivated selforganizing haptic systems based on proprioception. With the distinction made, usage should be clear from context. Design patterns for selforganizing software in the last decade, selforganizing mechanisms have been applied in different domains, achieving results that may go beyond what is possible with more traditional selfadaptation approaches, as documented for example in the saso conference series4. Selforganising software from natural to artificial. From natural to artificial adaptation hardcover at. Software engineering for self adaptive systems ii, lecture notes in. The concept has proven useful in biology, from molecular to ecosystem level.

Facing complexity with adaptation and selforganization. Then, it provides an overview of software applications exhibiting selforganising behaviour. As many of the essential abstract properties of living systems e. The book offers dedicated chapters on concepts such as self organisation, emergence in natural systems, software agents, stigmergy, gossip, cooperation and immune systems. Self adaptive software is a response to these demands. Ieee international conference on selfadaptive and selforganizing systems. Selfadaptive software is a response to these demands. From natural to artificial adaptation by giovanna di marzo serugendo, mariepierre gleizes and anthony karageorgos no static citation data no static citation data cite.

An adaptive agent model for selforganizing mas short paper. Di marzo serugendo, giovanna, gleizes, mariepierre, karageorgos, anthony eds. Selforganized adaptation of a simple neural circuit enables. The linguistic adaptation component selection in the common adaptive system process is stipulated by the extension of platformindepended software in networks usage. Assume that some sample data sets such as in table 1 have to be mapped onto the array depicted in figure 1. Self organization is an example of the related concept of. Proceedings of wsom97, workshop on selforganizing maps, espoo, finland, june 46, 1997, pp. We have implemented and compared four biologically motivated self organizing haptic systems based on proprioception.

In ashbys terms, each subsystem has adapted to the environment formed by all other. This phenomenon is applied in artificial neural networks in order to produce plasticity and adaptation in the last part we discuss about strengths and weaknesses of selforganizing principles in order to engineer artificial systems. The four systems differ in the kind of self organizing neural network used for clustering. Server based solutions for selforganizing networks. Selforganisation, selfregulation, selfrepair and selfmaintenance are promising conceptual approaches for dealing with complex distributed interactive software and informationhandling systems. This article considers a problem of securing the coexistence of predator and prey species under the conditions of the closed artificial world of digital organisms.

Artificial intelligence tools can aid sensor systems at least seven artificial intelligence ai tools can be useful when applied to sensor systems. Selforganizing software systems with distributed artificial. When providing collective robotic systems with selforganizing principles, we are facing new problems of making selforganization purposeful, selfadapting to changing environments and faster, in order to meet requirements from a technical perspective. The artificial neural networks anns that control these agents use summing and squashing a. From natural to artificial adaptation natural computing series. Frontiers guiding the selforganization of cyberphysical. For the mapping of the explored objects, one system uses a selforganizing map som, one uses a growing.

Complexity, artificial life and selforganising systems. Complexity, artificial life and selforganising systems glossary. Regulatory mechanism predates the evolution of self. Selforganized adaptation of a simple neural circuit. A glossary explaining concepts from complex systems, self organisation artificial life, attractors, cellular automata, fractals, genetic algorithms, neural networks and similar idea with hot links to introductory articles on these subjects. Selforganization is not an alternative to natural selection, but it constrains what.

That special issue includes additional relevant papers as well. Selforganization offers a promising approach for designing adaptive systems. The four systems differ in the kind of selforganizing neural network used for clustering. Artificial life also has roots in computer science, especially artificial intelligence ai and machine learning. Selforganising software from natural to artificial adaptation, g. Selforganizing software from natural to artificial adaptation. The process of adaptation and continual self organization cause these systems to interact continuously with the environment and compete against such similar systems for limited resources. For data analysis, biological plausibility and hardware implementability are irrelevant. On adaptive selforganization in artificial robot organisms. But throughout most of the paper we are addressing the degree to which natural selection, itself the overarching selforganizing process for all of biology, guides the evolution of organismal complexity, in a biased or unbiased fashion.

Biological collective systems can achieve scalable and adaptive group behaviors, optimizing to complex and dynamic environments through local sensing and interactions. Candidate solutions to the optimization problem play the role of individuals in a population, and the cost function determines the. This chapter describes the context of selforganising systems. Thus the original programs texts, languages of hypertext sectoring of documents, interpreting programming languages, natural languages of programming are taking the first places. With their simple and primitive circuits, made of few thousands discrete components, digi. Selforganisation multiagent systems adaptive software engineering selforganising software applications of selforganising software identifiers doi. This paper proposes a bioinspired middleware for selfadaptive software agents on distributed systems. For the mapping of the explored objects, one system uses a self organizing map som, one uses a growing. From natural to artificial adaptation \span\n \u00a0\u00a0. In this book i propose a methodology to aid engineers in the design and control of complex systems. An adaptation of the selforganizing map for intelligent agents and data mining.