Adaptation, anticipation and rationality in natural and artificial systems: computational paradigms mimicking nature

Martı́n, Humberto; Lope, Javier de; Maravall, Darío

doi:10.1007/s11047-008-9096-6

Cited by 38 publications

(17 citation statements)

References 16 publications

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“…To better understand this concept, it is interesting to know how a self-adaptive system has been usually defined in the literature. In [34] Martin et al defined an adaptive system as the set of elements interacting with each other that has at least one process controlling the system adaptation to increase its efficiency to achieve its goals. Weyns et al described in [22] a self-adaptive system as that kind of system that has the ability to adapt itself to the changes in its execution environment and internal dynamics with the purpose of continuing to achieve its goals.…”

Section: Use Of Self-adaptive System Modelsmentioning

confidence: 99%

Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations

et al. 2020

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Almost every research project that focuses on the cooperation of autonomous robots for underwater operations designs their own architectures. As a result, most of these architectures are tightly coupled with the available robots/vehicles for their respective developments, and therefore the mission plan and management is done using an ad-hoc solution. Typically, this solution is tightly coupled to just one underwater autonomous vehicle (AUV), or a restricted set of them selected for the specific project. However, as the use of AUVs for underwater operations increases, there is the need to identify some commonalities and weaknesses of these architectures, specifically in relation to mission planning and management. In this paper, we review a selected number of architectures and frameworks that in one way or another make use of different approaches to mission planning and management. Most of the selected works were developed for underwater operations. Still, we have included some other architectures and frameworks from other domains that can be of interest for the survey. The explored works have been assessed using selected features related to mission planning and management, considering that underwater operations are performed in an uncertain and unreliable environment, and where unexpected events are not strange. Furthermore, we have identified and highlighted some potential challenges for the design and implementation of mission managers. This provides a reference point for the development of a mission manager component to be integrated in architectures for cooperative robotics in underwater operations, and it can serve for the same purposes in other domains of application.

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Section: Use Of Self-adaptive System Modelsmentioning

confidence: 99%

Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations

et al. 2020

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“…Adaptation is a process that produces a correlation between the system's structure, behavior and environment [6,[20][21][22][23]. Adaptive wear-resistant coatings enable a tribosystem to shift to a milder wear mode instead of sustaining the severe wear mode in the case when non adaptive coatings are used [6,24].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical adaptive nanostructured PVD coatings for extreme tribological applications: the quest for nonequilibrium states and emergent behavior

Fox-Rabinovich

Yamamoto

Beake

et al. 2012

Science and Technology of Advanced Materials

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Adaptive wear-resistant coatings produced by physical vapor deposition (PVD) are a relatively new generation of coatings which are attracting attention in the development of nanostructured materials for extreme tribological applications. An excellent example of such extreme operating conditions is high performance machining of hard-to-cut materials. The adaptive characteristics of such coatings develop fully during interaction with the severe environment. Modern adaptive coatings could be regarded as hierarchical surface-engineered nanostructural materials. They exhibit dynamic hierarchy on two major structural scales: (a) nanoscale surface layers of protective tribofilms generated during friction and (b) an underlying nano/microscaled layer. The tribofilms are responsible for some critical nanoscale effects that strongly impact the wear resistance of adaptive coatings. A new direction in nanomaterial research is discussed: compositional and microstructural optimization of the dynamically regenerating nanoscaled tribofilms on the surface of the adaptive coatings during friction. In this review we demonstrate the correlation between the microstructure, physical, chemical and micromechanical properties of hard coatings in their dynamic interaction (adaptation) with environment and the involvement of complex natural processes associated with self-organization during friction. Major physical, chemical and mechanical characteristics of the adaptive coating, which play a significant role in its operating properties, such as enhanced mass transfer, and the ability of the layer to provide dissipation and accumulation of frictional energy during operation are presented as well. Strategies for adaptive nanostructural coating Topical Review design that enhance beneficial natural processes are outlined. The coatings exhibit emergent behavior during operation when their improved features work as a whole. In this way, as higher-ordered systems, they achieve multifunctionality and high wear resistance under extreme tribological conditions.

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“…Even though the term "adaptive" does not appear directly in recent surveys by Orio (2006) and Casey et al (2008) nor in the analysis of the "ISMIR cloud" by Grachten et al (2009), adaptivity is a core element of many MIR applications. Whilst not (yet) being a primary research topic in MIR, studying adaptivity has a long tradition in the field of control theory (Astrom and Wittenmark, 1994;Michels et al, 2006), artificial neural networks and nature-inspired systems in general (Gabrys et al, 2005;Martín H. et al, 2009). In classic (text) information retrieval the term "adaptive information retrieval" was coined in the late eighties by Belew (1989) and with "adaptive hypermedia" a whole new research field has emerged in the nineties -tightly coupled with user-modeling (Brusilovsky, 1996(Brusilovsky, , 2001.…”

Section: Introductionmentioning

confidence: 99%

Adaptive music retrieval–a state of the art

Stober

Nürnberger

2012

Multimed Tools Appl

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With the development of more and more sophisticated Music Information Retrieval (MIR) approaches, aspects of adaptivity are becoming an increasingly important research topic. Even though, adaptive techniques have already found their way into MIR systems and contribute to robustness or user satisfaction they are not always identified as such. This paper attempts a structured view on the last decade of MIR research from the perspective of adaptivity in order to increase awareness and promote the application and further development of adaptive techniques. To this end, different approaches from a wide range of application areas that share the common aspect of adaptivity are identified and systematically categorized.

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Adaptation, anticipation and rationality in natural and artificial systems: computational paradigms mimicking nature

Cited by 38 publications

References 16 publications

Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations

Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations

Hierarchical adaptive nanostructured PVD coatings for extreme tribological applications: the quest for nonequilibrium states and emergent behavior

Adaptive music retrieval–a state of the art

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