Concept

Information processing (psychology)

Information processing is the change (processing) of information in any manner detectable by an observer. As such, it is a process that describes everything that happens (changes) in the universe, from the falling of a rock (a change in position) to the printing of a text file from a digital computer system. In the latter case, an information processor (the printer) is changing the form of presentation of that text file (from bytes to glyphs). The computers up to this period function on the basis of programs saved in the memory, having no intelligence of their own. Within the field of cognitive psychology, information processing is an approach to the goal of understanding human thinking in relation to how they process the same kind of information as computers (Shannon & Weaver, 1963). It arose in the 1940s and 1950s, after World War II (Sternberg & Sternberg, 2012). The approach treats cognition as essentially computational in nature, with mind being the software and the brain being the hardware. The information processing approach in psychology is closely allied to the computational theory of mind in philosophy; it is also related, though not identical, to cognitivism in psychology and functionalism in philosophy (Horst, 2011). Information processing may be vertical or horizontal, either of which may be centralized or decentralized (distributed). The horizontally distributed processing approach of the mid-1980s became popular under the name connectionism. The connectionist network is made up of different nodes, and it works by a "priming effect," and this happens when a "prime node activates a connected node" (Sternberg & Sternberg, 2012). But "unlike in semantic networks, it is not a single node that has a specific meaning, but rather the knowledge is represented in a combination of differently activated nodes"(Goldstein, as cited in Sternberg, 2012). There are several proposed models or theories that describe the way in which we process information.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related courses (4)
COM-611: Quantum Information Theory and Computation
Today one is able to manipulate matter at the nanoscale were quantum behavior becomes important and possibly information processing will have to take into account laws of quantum physics. We introduce
CS-486: Interaction design
This course focuses on goal-directed design and interaction design, two subjects treated in depth in the Cooper book (see reference below). To practice these two methods, we propose a design challenge
HUM-218: The social psychology of persuasion
Le cours aborde la persuasion et ses techniques, telles qu'étudiées en psychologie sociale. Les étudiant.e.s prennent connaissance des théories pertinentes et des expériences qui étayent ces théories.
Show more
Related lectures (15)
Working Memory Model: Features and Applications
Explores the working memory model and its applications in learning, emphasizing simplicity and channel utilization.
Learning & Memory
Explores learning, memory, cognitive loads, metacognition, and problem-solving tasks.
Memory & Learning
Explores memory, learning, cognitive load, and problem-solving strategies to enhance learning and cognitive performance.
Show more
Related publications (39)
Related concepts (11)
Information
Information is an abstract concept that refers to that which has the power to inform. At the most fundamental level, information pertains to the interpretation (perhaps formally) of that which may be sensed, or their abstractions. Any natural process that is not completely random and any observable pattern in any medium can be said to convey some amount of information. Whereas digital signals and other data use discrete signs to convey information, other phenomena and artefacts such as analogue signals, poems, pictures, music or other sounds, and currents convey information in a more continuous form.
Computational theory of mind
In philosophy of mind, the computational theory of mind (CTM), also known as computationalism, is a family of views that hold that the human mind is an information processing system and that cognition and consciousness together are a form of computation. Warren McCulloch and Walter Pitts (1943) were the first to suggest that neural activity is computational. They argued that neural computations explain cognition. The theory was proposed in its modern form by Hilary Putnam in 1967, and developed by his PhD student, philosopher, and cognitive scientist Jerry Fodor in the 1960s, 1970s, and 1980s.
Memory
Memory is the faculty of the mind by which data or information is encoded, stored, and retrieved when needed. It is the retention of information over time for the purpose of influencing future action. If past events could not be remembered, it would be impossible for language, relationships, or personal identity to develop. Memory loss is usually described as forgetfulness or amnesia. Memory is often understood as an informational processing system with explicit and implicit functioning that is made up of a sensory processor, short-term (or working) memory, and long-term memory.
Show more
Related MOOCs (18)
Neuroscience Reconstructed: Cell Biology
This course will provide the fundamental knowledge in neuroscience required to understand how the brain is organised and how function at multiple scales is integrated to give rise to cognition and beh
Neuroscience Reconstructed: Cell Biology
This course will provide the fundamental knowledge in neuroscience required to understand how the brain is organised and how function at multiple scales is integrated to give rise to cognition and beh
Simulation Neurocience
Learn how to digitally reconstruct a single neuron to better study the biological mechanisms of brain function, behaviour and disease.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.