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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

468
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
468
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

571
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
571
Piaget's Theory of Cognitive Development from Childhood into Adulthood01:25

Piaget's Theory of Cognitive Development from Childhood into Adulthood

213
Jean Piaget's theory of cognitive development emphasizes the role of thinking in a child's learning process, suggesting that children are naturally curious about their environment. His approach to development is discontinuous, proposing that cognitive abilities progress through distinct stages, each with unique characteristics. Central to Piaget's theory is schemata—mental structures that allow individuals to understand and interpret the world.
Schemata: Building Blocks of...
213
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

77
A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
77
Observational Learning01:12

Observational Learning

253
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
253
Purposive Learning01:22

Purposive Learning

178
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
178

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A Perspective on Lifelong Open-Ended Learning Autonomy for Robotics through Cognitive Architectures.

Alejandro Romero1, Francisco Bellas1, Richard J Duro1

  • 1Integrated Group for Engineering Research, CITIC Research Center, Universidade da Coruña, 15403 Ferrol, Spain.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
Summary
This summary is machine-generated.

Achieving lifelong open-ended learning autonomy in robots requires cognitive architectures with robust learning, contextual memory, and motivational systems. Current architectures offer partial solutions, indicating future development paths for autonomous robots.

Keywords:
autonomous robotscognitive architectureslifelong learningopen-ended learning

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Cognitive Science

Background:

  • Robots require continuous learning and adaptation for autonomous operation.
  • Existing cognitive architectures offer various functionalities but often lack full lifelong learning capabilities.

Purpose of the Study:

  • To analyze cognitive architectures for their suitability in achieving lifelong open-ended learning autonomy in robots.
  • To identify key components and functionalities essential for autonomous robotic learning.

Main Methods:

  • Literature review and analysis of prominent cognitive architectures.
  • Evaluation of architectures based on functionalities like learning, memory, motivation, and attention.
  • Assessment of their application in real-world robotic scenarios.

Main Results:

  • No single cognitive architecture fully supports lifelong open-ended learning autonomy in robots currently.
  • Key required components include motivational systems for goal discovery, contextual long-term memory for associative learning, and robust learning mechanisms.
  • Attention and representation management systems are beneficial for complex domains.

Conclusions:

  • Further development of cognitive architectures is needed for true robotic autonomy.
  • Integrating motivational systems, advanced memory, and learning is crucial for future autonomous robots.
  • Partial solutions exist, guiding future research in robotics and AI.