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Adaptive Learning (adaptive + learning)

Distribution by Scientific Domains
Business, Economics, Finance and Accounting36%
Engineering27%
Humanities and Social Sciences18%

Terms modified by Adaptive Learning

  • adaptive learning process
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    Selected Abstracts

    Is the "Third-Generation Model" New and Is It the Holy Grail of Adaptive Learning?

    INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY, Issue 4 2008
    ALAN M. SAKS
    [source]

    Adaptive and Generative Learning: Implications from Complexity Theories

    INTERNATIONAL JOURNAL OF MANAGEMENT REVIEWS, Issue 2 2010
    Ricardo Chiva
    One of the most important classical typologies within the organizational learning literature is the distinction between adaptive and generative learning. However, the processes of these types of learning, particularly the latter, have not been widely analyzed and incorporated into the organizational learning process. This paper puts forward a new understanding of adaptive and generative learning within organizations, grounded in some ideas from complexity theories: mainly self-organization and implicate order. Adaptive learning involves any improvement or development of the explicate order through a process of self-organization. Self-organization is a self-referential process characterized by logical deductive reasoning, concentration, discussion and improvement. Generative learning involves any approach to the implicate order through a process of self-transcendence. Self-transcendence is a holo-organizational process characterized by intuition, attention, dialogue and inquiry. The main implications of the two types of learning for organizational learning are discussed. [source]

    Carrier-sense-assisted adaptive learning MAC protocols for distributed wireless LANs

    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, Issue 7 2005
    P. Nicopolitidis
    Abstract A Carrier-sense-assisted adaptive learning MAC protocol for wireless LANs, capable of operating efficiently in bursty traffic wireless networks with unreliable channel feedback, is introduced. According to the proposed protocol, the mobile station that is granted permission to transmit is selected by means of learning automata. At each station, the learning automaton takes into account the network feedback information in order to update the choice probability of each mobile station. The proposed protocol utilizes carrier sensing in order to reduce the collisions that are caused by different decisions at the various mobile stations due to the unreliable channel feedback. Simulation results show satisfactory performance of the proposed protocol compared to similar MAC protocols. Copyright © 2005 John Wiley & Sons, Ltd. [source]

    Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach

    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 5 2008
    Nikola Kasabov
    Most biological processes that are currently being researched in bioinformatics are complex, dynamic processes that are difficult to model and understand. The paper presents evolving connectionist systems (ECOS) as a general approach to adaptive modeling and knowledge discovery in bioinformatics. This approach extends the traditional machine learning approaches with various adaptive learning and rule extraction procedures. ECOS belong to the class of incremental local learning and knowledge-based neural networks. They are applied here to challenging problems in Bioinformatics, such as: microarray gene expression profiling, gene regulatory network (GRN) modeling, computational neurogenetic modeling. The ECOS models have several advantages when compared to the traditional techniques: fast learning, incremental adaptation to new data, facilitating knowledge discovery through fuzzy rules. © 2008 Wiley Periodicals, Inc. [source]

    ORDINARY LEAST SQUARES LEARNING AND NONLINEARITIES IN MACROECONOMICS

    JOURNAL OF ECONOMIC SURVEYS, Issue 1 2010
    Orlando Gomes
    Abstract The paper reviews the literature on adaptive learning in macroeconomic settings where the formation of expectations is particularly relevant. Special attention will be given to simple two-period overlapping generations models with a unique fixed point perfect foresight equilibrium; in this kind of scenario, eventual long-term periodic and a-periodic cycles are exclusively the result of the process of learning. The outcome that high rates of money growth have a potentially destabilizing effect generating periodic fluctuations and chaos is emphasized. The persistence of systematic forecast errors in a scenario where agents are supposed to act rationally is relevant in this context and it will be thoroughly discussed resorting to the notions of self-fulfilling mistakes, consistent expectations equilibria and beliefs equilibria. [source]

    Design of an unmanned ground vehicle, bearcat III, theory and practice

    JOURNAL OF FIELD ROBOTICS (FORMERLY JOURNAL OF ROBOTIC SYSTEMS), Issue 9 2004
    Masoud Ghaffari
    The purpose of this paper is to describe the design and implementation of an unmanned ground vehicle, called the Bearcat III, named after the University of Cincinnati mascot. The Bearcat III is an electric powered, three-wheeled vehicle that was designed for the Intelligent Ground Vehicle Competition and has been tested in the contest for 5 years. The dynamic model, control system, and design of the sensory systems are described. For the autonomous challenge line following, obstacle detection and pothole avoidance are required. Line following is accomplished with a dual camera system and video tracker. Obstacle detection is accomplished with either a rotating ultrasound or laser scanner. Pothole detection is implemented with a video frame grabber. For the navigation challenge waypoint following and obstacle detection are required. The waypoint navigation is implemented with a global positioning system. The Bearcat III has provided an educational test bed for not only the contest requirements but also other studies in developing artificial intelligence algorithms such as adaptive learning, creative control, automatic calibration, and internet-based control. The significance of this effort is in helping engineering and technology students understand the transition from theory to practice. © 2004 Wiley Periodicals, Inc. [source]

    Monetary Policy with Heterogeneous and Misspecified Expectations

    JOURNAL OF MONEY, CREDIT AND BANKING, Issue 1 2009
    MICHELE BERARDI
    adaptive learning; expectations formation; heterogenous expectations; misspecifications; monetary policy In the recent literature on monetary policy and learning, it has been suggested that private sector's expectations should play a role in the policy rule implemented by the central bank, as they could improve the ability of the policymaker to stabilize the economy. Private sector's expectations, in these studies, are often taken to be homogeneous and rational, at least in the limit of a learning process. In this paper, instead, we consider the case in which private agents are heterogeneous in their expectations formation mechanisms and hold heterogeneous expectations in equilibrium. We investigate the impact of this heterogeneity in expectations on central bank's policy implementation and on the ensuing economic outcomes, and the general result that emerges is that the central bank should disregard inaccurate private sector expectations and solely base its policy on the accurate ones. [source]

    A Model of Adaptive Language Learning

    MODERN LANGUAGE JOURNAL, Issue 3 2006
    LINDY J. WOODROW
    This study applies theorizing from educational psychology and language learning to hypothesize a model of language learning that takes into account affect, motivation, and language learning strategies. The study employed a questionnaire to assess variables of motivation, self-efficacy, anxiety, and language learning strategies. The sample consisted of 275 advanced learners studying English for academic purposes prior to entering Australian universities. The data were analyzed using both variable- and person-centered approaches. The variable-centered approaches included correlational analysis and structural equation modeling, whereas the person-centered approaches utilized cluster analysis and profile analysis using multidimensional scaling (PAMS). The findings supported the hypothesized model of adaptive learning and highlighted the relevance of research in educational psychology for informing language learning research. [source]

    Learning to Cooperate: Learning Networks and the Problem of Altruism

    AMERICAN JOURNAL OF POLITICAL SCIENCE, Issue 3 2009
    John T. Scholz
    We explore how two populations learn to cooperate with each other in the absence of institutional support. Individuals play iterated prisoner's dilemmas with the other population, but learn about successful strategies from their own population. Our agent-based evolutionary models reconfirm that cooperation can emerge rapidly as long as payoffs provide a selective advantage for nice, retaliatory strategies like tit-for-tat, although attainable levels of cooperation are limited by the persistence of nonretaliatory altruists. Learning processes that adopt the current best response strategy do well only when initial conditions are very favorable to cooperation, while more adaptive learning processes can achieve high levels of cooperation under a wider range of initial conditions. When combined with adaptive learning, populations having larger, better connected learning relationships outperform populations with smaller, less connected ones. Clustered relationships can also enhance cooperation, particularly in these smaller, less connected populations. [source]

    Complementarity, growth, and trade

    CANADIAN JOURNAL OF ECONOMICS, Issue 3 2002
    Seppo Honkapohja
    We consider an endogenous growth model with international trade in complementary capital goods. The model possesses several distinct, balanced growth solutions, which we classify using stability under adaptive learning. Some of the equilibria can involve growth rates much higher than others. We show that, in addition to a small (usually positive) effect on a given equilibrium, an expansion in trade may sometimes yield a much larger, sudden jump in growth. The small effect on the initial equilibrium may reduce growth if the opportunity cost of capital rises very fast as growth accelerates. JEL Classification: F12, F15, O41 Complémentarité, croissance, et commerce international. Les auteurs utilisent un modèle de croissance endogène en présence de commerce international de biens capitaux complémentaires. Le modèle possède plusieurs solutions de croissance équilibrée distinctes que les auteurs classifient en utilisant des mesures de stabilité avec apprentissage adaptatif. Certains de ces équilibres peuvent impliquer des taux de croissance plus élevés que d'autres. Il appert qu'une expansion du commerce international, en plus d'avoir un petit effet (habituellement positif) sur un équilibre donné, peut parfois engendrer une augmentation plus forte et soudaine de la croissance. Le petit effet sur l'équilibre initial peut réduire la croissance si le coût d'opportunité du capital augmente rapidement à proportion que la croissance accélère. [source]