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Adaptive technological substitution models
1980
Technological forecasting & social change
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This article demonstrates the use of feedback estimation approaches to develop self-adaptive innovation diffusion models for forecasting technological substitution. ...
In the view of the above, it is clear that in developing an innovation diffusion model, the task of the model builder is to develop a model that adapts to variability in the environment. ...
The design of the experiment consists of forecasting one period into the future using the OLS model and the adaptive model for each product. ...
doi:10.1016/0040-1625(80)90013-x
fatcat:l3u7julphrh6no3pqxe4qsckw4
Adaptive modeling, adaptive data assimilation and adaptive sampling
2007
Physica D : Non-linear phenomena
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Novel adaptive modeling approaches based on simplified maximum likelihood principles are developed and applied to physical and physical-biogeochemical dynamics. ...
New adaptive sampling approaches and schemes are outlined. Illustrations suggest that these adaptive schemes can be used in real time with the potential for most efficient sampling. ...
This is an approach often followed today in oceanic studies. ...
doi:10.1016/j.physd.2007.02.014
fatcat:4ppdxmizzrfs3eidx3tbz6em5q
Formal approach to model complex adaptive computing systems
2020
Complex Adaptive Systems Modeling
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Authors' contributions All authors contribute in collecting information, writing, modeling, and reviewing. All authors read and approved the final manuscript. ...
Acknowledgements This research work is supported by Computing, Imaging and Modeling of Complex Systems Laboratory, Settat, Morocco. ...
In order to illustrate the proposed approach, we present a case study of modeling an air traffic control system as a complex adaptive system. ...
doi:10.1186/s40294-020-0069-7
fatcat:e3sqoxucb5ae3h73vj5rrwkjma
Formal modeling of a complex adaptive air traffic control system
2018
Complex Adaptive Systems Modeling
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Our approach provides a standard model to start with in order to model any airport control system, which allows engineers to focus on more typical requirements that are not developed here. which permits ...
In order to help engineers to develop such complex system we propose a predefined model that includes the essence of air traffic control and the standard requirements. ...
Availability of data and materials No dataset was used in this work. This work is based on international recommendation.
Funding The study was not funded. ...
doi:10.1186/s40294-018-0056-4
fatcat:mv6dca5upfc3ndygcg5wi56yte
Adapting virtual camera behaviour through player modelling
2015
User modeling and user-adapted interaction
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In this article, we propose a novel approach to virtual camera control, which builds upon camera control and player modelling to provide the user with an adaptive point-of-view. ...
Research in virtual camera control has focused primarily on finding methods to allow designers to place cameras effectively and efficiently in dynamic and unpredictable environments, and to generate complex ...
This model is designed to be employed to drive an automatic camera controller (as introduced by Burelli and Yannakakis 2010) and provide a personalized camera experience. ...
doi:10.1007/s11257-015-9156-4
fatcat:vyvq3btey5bchdpz3oks26hrmq
Adaptive Precision Geolocation Algorithm with Multiple Model Uncertainties
[chapter]
2009
Adaptive Control
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Hence, the compensation of model uncertainties is an important task in the navigation filter design. ...
In modeling or formulating the mathematical equations, the possible prediction errors are approximated or assumed as a model uncertainty. ...
Adaptive Control Adaptive control has been a remarkable field for industrial and academic research since 1950s. ...
doi:10.5772/6513
fatcat:467wz5wtgnffjg3we2msri5y5e
Empirical model-based adaptive control of MANETs
2008
IEEE INFOCOM 2008 - IEEE Conference on Computer Communications Workshops
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In this work, however, we are investigating the feasibility of an adaptive model-based selfcontroller that can manage the values of controllable factors in MANETs. ...
The model-based controller adapts or reconfigures system-wide parameters or protocol operation as a function of the dynamically changing network state. ...
As shown in Fig. 1 , our proposed approach includes the design of a feedback-based controller that uses empirical models to autonomously control and manage system performance [3, 4] . ...
doi:10.1109/infocom.2008.4544616
fatcat:kd5ogx4h6reo5cbiituqb6nerq
Runtime Adaptability through Automated Model Evolution
2010
2010 14th IEEE International Enterprise Distributed Object Computing Conference
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Dynamically adaptive systems propose adaptation by means of variants that are specified in the system model at design time and allow for a fixed set of different runtime configurations. ...
To illustrate our approach we present a BPEL based framework using a service composition model to represent the system functional requirements. ...
In [29] , the authors use an architecture-based approach to support dynamic adaptation. ...
doi:10.1109/edoc.2010.22
dblp:conf/edoc/MosincatBJ10
fatcat:y2fdfien4nar5lsigtkiufuwnm
Adapting a Formal Model Theory to Applications in Augmented Personalized Medicine
[article]
2017
arXiv
pre-print
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That effort identified the need for a robust core model of organisms as dynamic wholes, using advanced and adequately computable mathematics. ...
The goal of this paper is to advance an extensible theory of living systems using an approach to biomathematics and biocomputation that suitably addresses self-organized, self-referential and anticipatory ...
Marijuán for the reference material and the critical remarks in Section 5.1. Our special thanks goes to Peter Hufnagl for the exciting discussion that led to the design of Fig. 8 . ...
arXiv:1710.03571v4
fatcat:5v4dymci4rgsfo3k4qcyqq3vae
Model Reference Adaptive Control for Robotic Manipulation with Kalman Active Observers
[chapter]
2009
Frontiers in Adaptive Control
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Model reference adaptive control (MRAC) schemes can have an important role, imposing a desired closed loop behavior to the real plant in spite of modeling errors. ...
A major problem of force control design is the robustness to disturbances present in the robotic setup. ...
The AOB provides a methodology to achieve model-reference adaptive control through extra states and stochastic design in the framework of Kalman filters. ...
doi:10.5772/6428
fatcat:l3udnbq4mzd6blnoydnnf6fyzy
A Model of Adaptation in Collaborative Multi-Agent Systems
2004
Adaptive Behavior
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We derive a mathematical model that describes the collective behavior of such adaptive systems. The model, consisting of coupled Rate Equations, governs how the collective behavior changes in time. ...
The system we study is an adaptive version of the collaborative stick pulling in a group of robots examined in detail in earlier works Lerman, 2001) . ...
Ackowledgements The research reported here was supported in part by the Defense Advanced Research Projects Agency (DARPA) under contract number F30602-00-2-0573. ...
doi:10.1177/105971230401200305
fatcat:mcs7jqgdrzh57drem45crek7ky
Taming model uncertainty in self-adaptive systems using bayesian model averaging
2022
Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems
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Our empirical evaluation demonstrates the cost-effectiveness of our approach using an exemplar case study in the robotics domain. ...
In particular, we propose to enhance the classical feedback loop of a self-adaptive system with the ability to tame the model uncertainty using Bayesian Model Averaging. ...
THE TUNE APPROACH In this section we describe an overview of TUNE (Sec. 4.1) and its integration into the analyze (Sec. 4.2) and plan (Sec. 4.3) components of a MAPE-K adaptation control loop. ...
doi:10.1145/3524844.3528056
fatcat:ozyqrvfhlrfhnevyqhkqhnzt2a
ActivFORMS: A Formally-Founded Model-Based Approach to Engineer Self-Adaptive Systems
[article]
2022
arXiv
pre-print
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ActivFORMS contributes an end-to-end approach for engineering self-adaptive systems, spanning four main stages of the life cycle of a feedback loop: design, deployment, runtime adaptation, and evolution ...
We also present ActivFORMS-ta, a tool-supported instance of ActivFORMS that leverages timed automata models and statistical model checking at runtime. ...
Danny Hughes and his team at DistriNet for their continuous support in our research. We also appreciate the feedback we received from Axel Legay. ...
arXiv:1908.11179v3
fatcat:2erkrwordnaljgaxrrg3trlbxa
MultiScale Modeling of Physical Phenomena: Adaptive Control of Models
2006
SIAM Journal on Scientific Computing
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In this work, it is shown that the idea of comparing models and controlling model error can be used to develop a general approach for multiscale modeling, a subject of growing importance in computational ...
Perhaps less appreciated is the notion that the error due to modeling can be defined, estimated, and used adaptively to control modeling error, provided one accepts the existence of a base model that can ...
In the present exposition, we develop a general approach to multiscale modeling based on the notion of a posteriori estimation of modeling error and on adaptive modeling using so-called Goals algorithms ...
doi:10.1137/050632488
fatcat:cljxqrhx3ngphgzyk6i7cnycbq
Probabilistic Models for Computerized Adaptive Testing
[article]
2017
arXiv
pre-print
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In this paper we follow our previous research in the area of Computerized Adaptive Testing (CAT). We present three different methods for CAT. ...
One of them, the item response theory, is a well established method, while the other two, Bayesian and neural networks, are new in the area of educational testing. ...
These examinees have to be tested without the adaptive approach to obtain a basis for the model creation. ...
arXiv:1703.09794v1
fatcat:4xr6lgvjdvcfdf7e6ezclr3nly
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