Deli Malay people

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Pengantin Berbaju Adat Melayu Deli.jpg

Connectionism is a cognitive science approach that models mental or behavioral phenomena as the emergent processes of interconnected networks of simple units. The basic units in connectionist models are often inspired by neural networks in the brain, leading to the alternative name "neural network models." Connectionism seeks to explain mental phenomena using artificial neural networks (ANN).

Overview[edit | edit source]

Connectionism represents knowledge not as symbolic entities but as patterns of activation across networks of simple, neuron-like units. These units are connected by weighted links, which are adjusted during learning processes, typically through a method known as backpropagation. This learning process allows the network to adapt and respond to new data, simulating a form of learning in the human brain.

Key Concepts[edit | edit source]

  • Neural Networks: At the heart of connectionism are artificial neural networks, which are computational models inspired by the brain's neural networks. These models consist of layers of interconnected nodes or neurons, which process information in a parallel and distributed manner.
  • Learning Algorithms: Connectionist models rely on learning algorithms to adjust the weights of the connections between nodes. The most common learning algorithm is backpropagation, which minimizes the difference between the actual output of the network and the desired output.
  • Parallel Distributed Processing (PDP): Connectionism is closely associated with the concept of parallel distributed processing. This approach emphasizes the simultaneous processing of information across different nodes of the network, leading to more efficient information processing.

Applications[edit | edit source]

Connectionist models have been applied in various fields, including psychology, linguistics, computer science, and artificial intelligence. They have been used to model phenomena such as language acquisition, pattern recognition, and decision-making processes.

Criticism and Limitations[edit | edit source]

While connectionism has provided valuable insights into the workings of the brain and cognitive processes, it has faced criticism. Critics argue that connectionist models lack the ability to naturally represent structured data and complex symbol manipulation. Furthermore, the models are often described as "black boxes" because their internal workings and the way they reach decisions can be opaque.

Connectionism and the Deli Malay People[edit | edit source]

The topic of connectionism does not directly relate to the Deli Malay people, an ethnic group primarily found in Sumatra, Indonesia. The Deli Malay people are known for their rich cultural heritage and history, particularly in relation to the tobacco plantations during the colonial period. There is no direct connection between the study of connectionism and the Deli Malay people, as the former is a theoretical framework in cognitive science and the latter pertains to an ethnic group with a distinct culture and history.

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Contributors: Prab R. Tumpati, MD