The Experts below are selected from a list of 276750 Experts worldwide ranked by ideXlab platform

Annie Lang - One of the best experts on this subject based on the ideXlab platform.

  • using the limited capacity model of motivated mediated message Processing to design effective cancer communication messages
    Journal of Communication, 2006
    Co-Authors: Annie Lang
    Abstract:

    This paper applies the limited capacity model of motivated mediated messages (LC4MP) to the problem of creating effective messages about cancer. A general description of the model is presented and then applied specifically to the task of creating effective cancer communication messages by asking the following questions about cancer communication: (a) What is the goal of the message? (b) Who is in the target market? (c) What medium will carry the message? and (d) What is the motivational and personal relevance of the main Information in the message for the majority of people in the target market? The paper concludes that cancer is a motivationally relevant topic that will elicit aversive activation. Target markets for various types of cancer-related messages (e.g., smokers or people of a certain age) will process mediated messages in predictably different ways making certain design decisions better for certain target markets. Both structural and content elements of messages interact with the limited capacity Information Processing System to impact resource allocation, which in turn determines how well messages are encoded, stored, and retrieved at a decision point. Individual differences in peoples’ motivational activation influence both their tendencies to engage in risky behaviors that increase the probabilities of getting cancer and their Processing of health-related messages. Future research from this perspective should be done to optimize cancer messages for specific target audiences using specific media.

  • the limited capacity model of mediated message Processing
    Journal of Communication, 2000
    Co-Authors: Annie Lang
    Abstract:

    This paper presents an Information-Processing model that is directly applicable to the investigation of how mediated messages are processed. It applies the model to the case of television viewing to demonstrate its applicability. It provides a measure for each part of the model. It presents evidence that supports the model in the television-viewing situation. Finally, it demonstrates how the model may be used to further research and understanding in well-known theoretical traditions. This model is not meant to stand in opposition to any of these theories but, rather, should work well with them by providing hypothesized mechanisms that may underlie well-known effects. This model should prove useful both to researchers and, eventually, to message producers. To the extent that we can better understand how the content and structure of messages interact with a viewer's Information-Processing System to determine which parts and how much of a communication message is remembered, we will make great strides in understanding how people communicate.

Yoshihiko Nakamura - One of the best experts on this subject based on the ideXlab platform.

  • self organizing symbol acquisition and motion generation based on dynamics based Information Processing System
    Transactions of The Japanese Society for Artificial Intelligence, 2005
    Co-Authors: Masafumi Okada, Daisuke Nakamura, Yoshihiko Nakamura
    Abstract:

    The symbol acquisition and manipulation abilities are one of the inherent characteristics of human beings comparing with other creatures. In this paper, based on recurrent self-organizing map and dynamics-based Information Processing System, we propose a dynamics based self-organizing map (DBSOM). This method enables designing a topological map using time sequence data, which causes recognition and generation of the robot motion. Using this method, we design the self-organizing symbol acquisition System and robot motion generation System for a humanoid robot. By implementing DBSOM to the robot in the real world, we realize the symbol acquisition from the experimental data and investigate the spatial property of the obtained DBSOM.

  • design of the continuous symbol space for the intelligent robots using the dynamics based Information Processing
    International Conference on Robotics and Automation, 2004
    Co-Authors: Masafumi Okada, Yoshihiko Nakamura
    Abstract:

    In this paper, we design a continuous symbol space using a dynamics-based Information Processing System. One point in the symbol space decides the vector field in the motion space that generates the cyclic motion and the continuous motion transition of the robots. Because the motion of the state vector in the symbol space is defined by a dynamical System, the spatial and temporal continuous Information Processing System is realized.

  • polynomial design of the nonlinear dynamics for the brain like Information Processing of whole body motion
    International Conference on Robotics and Automation, 2002
    Co-Authors: M Okada, Koji Tatani, Yoshihiko Nakamura
    Abstract:

    For the development of an intelligent robot with many degrees-of-freedom, the reduction of the whole body motion and the implementation of the brain-like Information System is necessary. We propose a reduction method of the whole body motion based on singular value decomposition and a design method of the brain-like Information Processing System using a nonlinear dynamics network with polynomial configuration. By using the proposed method, we design the humanoid whole body motion that is caused by the input sensor signals.

Masafumi Okada - One of the best experts on this subject based on the ideXlab platform.

  • self organizing symbol acquisition and motion generation based on dynamics based Information Processing System
    Transactions of The Japanese Society for Artificial Intelligence, 2005
    Co-Authors: Masafumi Okada, Daisuke Nakamura, Yoshihiko Nakamura
    Abstract:

    The symbol acquisition and manipulation abilities are one of the inherent characteristics of human beings comparing with other creatures. In this paper, based on recurrent self-organizing map and dynamics-based Information Processing System, we propose a dynamics based self-organizing map (DBSOM). This method enables designing a topological map using time sequence data, which causes recognition and generation of the robot motion. Using this method, we design the self-organizing symbol acquisition System and robot motion generation System for a humanoid robot. By implementing DBSOM to the robot in the real world, we realize the symbol acquisition from the experimental data and investigate the spatial property of the obtained DBSOM.

  • design of the continuous symbol space for the intelligent robots using the dynamics based Information Processing
    International Conference on Robotics and Automation, 2004
    Co-Authors: Masafumi Okada, Yoshihiko Nakamura
    Abstract:

    In this paper, we design a continuous symbol space using a dynamics-based Information Processing System. One point in the symbol space decides the vector field in the motion space that generates the cyclic motion and the continuous motion transition of the robots. Because the motion of the state vector in the symbol space is defined by a dynamical System, the spatial and temporal continuous Information Processing System is realized.

Jason P Mitchell - One of the best experts on this subject based on the ideXlab platform.

  • mentalizing and marr an Information Processing approach to the study of social cognition
    Brain Research, 2006
    Co-Authors: Jason P Mitchell
    Abstract:

    Abstract To interact successfully, individuals must not only recognize one another as intentional agents driven primarily by internal mental states, but also possess a System for making reliable and useful inferences about the nature of those beliefs, feelings, goals, and dispositions. The ability to make such mental state inferences (i.e., to mentalize or mindread) is the central accomplishment of human social cognition. The present article suggests that our understanding of how humans go about making mental state inferences will benefit from treating social cognition primarily as an Information Processing System that comprises a set of mechanisms for elaborating more basic social Information into an understanding of another's mind. Following Marr's [Marr, D., 1982. Vision. W. H. Freeman, San Francisco, CA] framework for the study of such Information Processing Systems, I suggest that questions about social cognition might profitably be asked at three levels – computation, algorithm, and implementation – and outline a number of ways in which a description of social cognition at the middle level (i.e., the step-by-step processes that give rise to mental state inferences) can be informed by analysis at the other two.

Md Ahsan Habib - One of the best experts on this subject based on the ideXlab platform.

  • a novel presentation of reversible logic gate in quantum dot cellular automata qca
    International Conference on Electrical Engineering and Information Communication Technology, 2014
    Co-Authors: Ali Newaz Bahar, Sajjad Waheed, Md Ahsan Habib
    Abstract:

    In last few decades, low power Processing and small scaling have been successfully achieved by conventional lithography-based VLSI technology. However, this trend confronts serious challenges due to fundamental physical limits of Complementary Metal-Oxide-Semiconductor (CMOS) technology such as ultra-thin gate oxides, short channel effects, doping fluctuations at nano-scale regimes. Quantum-dot Cellular Automata (QCA) technology has been extensively conceivable as one of the alternative, that gives not only the solution of CMOS technology at nano-scale, but also it offers a new method of computation and Information transformation. This paper presents a novel representation of reversible gate in QCA. Those proposed circuit has a promising future in constructing of nano-scale low power consumption Information Processing System and can be stimulated higher digital applications in QCA.

  • a novel presentation of toffoli gate in quantum dot cellular automata qca
    International Journal of Computer Applications, 2013
    Co-Authors: Ali Newaz Bahar, Md Ahsan Habib, Nisit Kumar Biswas
    Abstract:

    Quantum dot Cellular Automata (QCA) is one of the emerging nanotechnologies, promising alternative to CMOS technology due to faster speed, smaller size, lower power consumption, higher scale integration and higher switching frequency. The basic element in QCA is majority gate. This paper, present two different design layout of Toffoli gate based on QCA logic gates: majority voter gate (MV), QCA wire and inverter gate. QCADesigner, a common QCA layout design and verification tool is employed to verify and simulate the proposed Toffoli Gate (TG). The simulation result confirmed the correctness of the proposed circuits. The proposed circuit has a promising future in constructing of nano-scale low power exhausting Information Processing System and can stimulate higher digital applications in QCA. General Terms Nano Technology, Quantum dot Cellular Automata (QCA).