177 research outputs found
Psychotherapie hoeft niet slecht te zijn, de politiek moet differentiĂ«ren tussen âzeurâ en âdoeâ behandelingen
Spatial Degrees of Freedom in Everett Quantum Mechanics
Stapp claims that, when spatial degrees of freedom are taken into account,
Everett quantum mechanics is ambiguous due to a "core basis problem." To
examine an aspect of this claim I generalize the ideal measurement model to
include translational degrees of freedom for both the measured system and the
measuring apparatus. Analysis of this generalized model using the Everett
interpretation in the Heisenberg picture shows that it makes unambiguous
predictions for the possible results of measurements and their respective
probabilities. The presence of translational degrees of freedom for the
measuring apparatus affects the probabilities of measurement outcomes in the
same way that a mixed state for the measured system would. Examination of a
measurement scenario involving several observers illustrates the consistency of
the model with perceived spatial localization of the measuring apparatus.Comment: 34 pp., no figs. Introduction, discussion revised. Material
tangential to main point remove
How brains make decisions
This chapter, dedicated to the memory of Mino Freund, summarizes the Quantum
Decision Theory (QDT) that we have developed in a series of publications since
2008. We formulate a general mathematical scheme of how decisions are taken,
using the point of view of psychological and cognitive sciences, without
touching physiological aspects. The basic principles of how intelligence acts
are discussed. The human brain processes involved in decisions are argued to be
principally different from straightforward computer operations. The difference
lies in the conscious-subconscious duality of the decision making process and
the role of emotions that compete with utility optimization. The most general
approach for characterizing the process of decision making, taking into account
the conscious-subconscious duality, uses the framework of functional analysis
in Hilbert spaces, similarly to that used in the quantum theory of
measurements. This does not imply that the brain is a quantum system, but just
allows for the simplest and most general extension of classical decision
theory. The resulting theory of quantum decision making, based on the rules of
quantum measurements, solves all paradoxes of classical decision making,
allowing for quantitative predictions that are in excellent agreement with
experiments. Finally, we provide a novel application by comparing the
predictions of QDT with experiments on the prisoner dilemma game. The developed
theory can serve as a guide for creating artificial intelligence acting by
quantum rules.Comment: Latex file, 20 pages, 3 figure
A psicologia cognitiva experimental cinqĂŒenta anos depois: a crise do paradigma do processamento de informação
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks
âThe original publication is available at www.springerlink.comâ. Copyright SpringerWe created a neural architecture that can use two different types of information encoding strategies depending on the environment. The goal of this research was to create a simulated agent that could react to two different overlapping chemicals having varying concentrations. The neural network controls the agent by encoding its sensory information as temporal coincidences in a low concentration environment, and as firing rates at high concentration. With such an architecture, we could study synchronization of firing in a simple manner and see its effect on the agentâs behaviour.Peer reviewe
Introduction. Mental processes in the human brain
The scientific study of the human mind and brain has come of age with the advent of technologically advanced methods for imaging brain structure and activity in health and disease, plus computational theories of cognition. These advances are leading to sophisticated new accounts for how mental processes are implemented in the human brain, but they also raise new challenges. Mental Processes in the Human Brain provides an integrative overview of the rapid advances and future challenges in understanding the neurobiological basis of mental processes that are characteristically (and in some cases, perhaps uniquely) human, including: language; thought; understanding of others; attention; planning and decision-making; emotion; memory; prediction; and awareness itself. The book also presents the latest insights into how these various processes can break down after brain injury. With chapters from some of leading figures in the brain sciences, this book will be essential for all those in the cognitive and brain sciences
- âŠ