Notes:
A brain is defined as “the coordinating centre of sensation and intellectual and nervous activity”.
A cognitive system is a type of artificial intelligence system that is designed to mimic the functions and processes of the human brain. Cognitive systems are typically based on the principles of cognitive science, which is the study of the mental processes and representations that underlie human thought, perception, and action.
Cognitive systems are typically designed to be able to learn, reason, and adapt to new information and environments, just like the human brain. They may be able to process and analyze large amounts of data, and to make decisions and take actions based on that data. Cognitive systems may also be able to interact with other systems and agents, and to communicate and cooperate with them in order to achieve common goals.
Cognitive systems are related to the structure of the brain in several ways. For example, cognitive systems often use artificial neural networks, which are computational models that are inspired by the structure and function of the neurons in the brain. These neural networks are made up of many interconnected processing units, or nodes, which can receive, process, and transmit information and signals, just like neurons in the brain.
Cognitive systems may also use other computational models and algorithms that are based on the principles of cognitive science, such as cognitive architectures, knowledge representation, and decision-making algorithms. These models and algorithms are designed to mimic the mental processes and representations that underlie human thought and action, and can help cognitive systems to perform a wide range of cognitive tasks, such as learning, reasoning, and problem-solving.
Cognitive systems typically consist of several key components that correspond to different structures and functions of the human brain. These components may include:
- Sensors: Cognitive systems typically have sensors, such as cameras, microphones, and other sensors, that allow them to perceive and collect data about the environment. These sensors correspond to the sensory organs of the human brain, such as the eyes, ears, and other senses, which collect information from the environment and send it to the brain for processing.
- Data processing and analysis: Cognitive systems often include a range of algorithms and computational models that are designed to process and analyze the data collected by the sensors. These algorithms and models may be based on the principles of artificial neural networks, which are inspired by the structure and function of neurons in the brain. They may be able to identify patterns and trends in the data, and to make predictions and decisions based on that data.
- Memory and storage: Cognitive systems typically have some form of memory and storage system, which allows them to store and retrieve data and information. This may include both short-term and long-term memory, and may be based on a variety of different technologies and data structures, such as databases, file systems, and other data storage technologies. The memory and storage system in a cognitive system corresponds to the memory and storage functions of the human brain, which allow the brain to store and retrieve information over time.
- Decision-making and action: Cognitive systems often include algorithms and computational models that are designed to make decisions and take actions based on the data and information processed by the system. These algorithms and models may be based on the principles of cognitive science, and may be able to adapt and learn over time, just like the human brain. The decision-making and action components of a cognitive system correspond to the decision-making and action functions of the human brain, which allow the brain to take appropriate actions based on the information it receives from the senses and from its internal memory and processes.
Overall, cognitive systems typically consist of several key components that correspond to different structures and functions of the human brain. These components may include sensors, data processing and analysis, memory and storage, and decision-making and action. These components work together to allow the cognitive system to perceive, analyze, and act upon data and information in its environment, just like the human brain.
- Artificial cognitive system
Resources:
- cogsys.org .. advances in cognitive systems [journal]
- cst.fee.unicamp.br .. java-based cognitive systems toolkit
- ljmanso.com/agm .. active grammar-based modeling
Wikipedia:
References:
See also:
100 Best Cognitive Architecture Videos | 100 Best Cognitive Computing Videos | 100 Best Microsoft Cognitive Services Videos | BECCA (Brain Emulating Cognitive Control Architecture) | CALO (Cognitive Agent that Learns and Organizes) | Cognitive Agents | Cognitive Architecture & Dialog Systems 2018 | Cognitive Architecture & Robotics | Cognitive Architecture & Virtual Humans 2018 | Cognitive Architecture Meta Guide | Cognitive Assistants | Cognitive Engines 2018 | Cognitive Computing News 2019 | Cognitive Modeling & Dialog Systems | CTAT (Cognitive Tutor Authoring Tools) | NSCA (Neural-Symbolic Cognitive Agent) | Soar Cognitive Architecture & Dialog Systems
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