Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any (...) model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained. (shrink)

After more than 15 years of study, the 1/f noise or complex-systems approach to cognitive science has delivered promises of progress, colorful verbiage, and statistical analyses of phenomena whose relevance for cognition remains unclear. What the complex-systems approach has arguably failed to deliver are concrete insights about how people perceive, think, decide, and act. Without formal models that implement the proposed abstract concepts, the complex-systems approach to cognitive science runs the danger of becoming a philosophical exercise in futility. The complex-systems (...) approach can be informative and innovative, but only if it is implemented as a formal model that allows concrete prediction, falsification, and comparison against more traditional approaches. (shrink)

Surgical devices are often marketed before there is good evidence of their safety and effectiveness. Our paper discusses the ethical issues associated with the early marketing and use of new surgical devices from the perspectives of the six groups most concerned. Health Canada, which is responsible for licensing new surgical devices, should amend their requirements to include rigorous clinical trials that provide data on effectiveness and safety for each new product before it is marketed. Industry should comply with all Health (...) Canada requirements to obtain licenses for new products. Until Health Canada requires effectiveness and safety data, industry should cooperate with physicians in appropriate studies before releasing new products and should make balanced presentations of all the available evidence. Surgeons should, before using a new surgical device, assess the evidence on its effectiveness and safety and ensure they are properly trained and competent in using the device. Surgeons should provide their patients with an evaluation of the available evidence and inform them about possible complications and the surgeon's level of experience with the new device. Patients, who should be given an honest evaluation of the available evidence, possible complications, and the surgeon's experience, should be encouraged to evaluate the evidence and information to their own satisfaction to ensure that fully informed consent is given. Health institutions, responsible for regulating practice within their walls, should review new devices for safety, effectiveness, and economic impacts, before allowing their use. They should also limit the use of new surgical devices to surgeons trained and competent in the new technology. Professional societies should provide guidance on the early adoption of new surgical devices and technologies. We urge all those involved in the development, licensing, and use of new surgical devices to aim for higher ethical standards to protect the health and safety of patients requiring surgery. The lowest acceptable ethical standard would require device manufacturers to provide surgeons with accurate and timely information on the efficacy and safety of their products, allowing surgeons and patients to evaluate the evidence (and the significance of information not yet available) before surgery. (shrink)

We focus on two components of Page's argument in favour of localist representations in connectionist networks: First, we take issue with the claim that localist representations can give rise to generalisation and show that whenever generalisation occurs, distributed representations are involved. Second, we counter the alleged shortcomings of distributed representations and show that their properties are preferable to those of localist approaches.