Kastalia Knowledge Management System · Glasperlenspiel template · knot 1517
Human and Machine Learning
Ancestors (3 superordinated paths)
Descendants (at least 68 branches originate here)
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Human and Machine Learning
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is_parent Homo discens
"Man is a 'homo discens,' a learning being. People learn as long as they live. Life is inseparably connected with learning." Horst Siebert -
is_parent Implicit learning
Implicit learning is the process of acquiring knowledge or skills unconsciously, without intentional effort or explicit awareness of what is being learned. It t-
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Observation
Observation in the context of learning refers to the process of acquiring knowledge, skills, or behaviors by perceiving the actions of others or the dynamics wi-
is_parent Concentric circle exercise ·
Let's speak about ways and means how humans observe their environments.Divide into two groups, group 1 forms the internal circle, group 2 forms the external one -
is_parent Proprioceptive Exercise ·
Keep standing. Close Your eyes. Arms wide apart. Now try to bring Your hands together so that the whole half-circle movement lasts exactly one minute. That is,
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Unsupervised learning
Unsupervised learning is a type of machine learning where a model is trained on data without labeled outcomes. The system analyzes and identifies patterns or st-
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Clustering
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Clustering is a machine learning technique used to group a set of data points into clusters based on their similarity. It is an unsupervised learning method, me -
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Example of unsupervised learning
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Imagine you have a big collection of music tracks from various genres, but you don’t know the genre of each track. Using unsupervised learning, like a clu
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Imitation
Imitation in humans, especially in children, is the process of learning by observing and replicating the actions, behaviors, or expressions of others. It is a f-
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Mirror neurons
Mirror neurons are specialized brain cells that activate both when an individual performs an action and when they observe someone else performing the same actio-
is_parent Mirror neurons video ·
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is_parent Features of implicit learning ·
No direct guidance :: Learner L must identify patterns or relationships from raw input on her own. Pattern discovery :: Observation often involves recognizing a -
is_parent 1st definition of learning ·
Learning is building A model of THE world.
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is_parent Experiential learning
Experiential learning is a process of learning through direct experience, where individuals engage in activities, reflect on their actions, and apply what they’-
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Trial
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In learning and problem-solving, a "trial" is a single attempt or effort to reach a goal or find a solution. Each trial involves testing an idea or making a cha -
is_parent Repetition
In learning, skill-building, and habit formation, repetition is the process of repeatedly practicing or performing a task. This continuous repetition reinforces-
is_parent repetitio.digital.udk-berlin.de ·
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is_parent Questio ·
What action / activity do You repeat most often ?
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Error
In learning and problem-solving, an "error" is the difference between what we aimed to achieve and the actual result. It shows how far we are from the desired o-
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Two types of errors
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Essentially, there are two type of errors: the "bad" errors (often happen only once)the "innocent" (unpleasant but useful minor misstep) Turn to Your neighbour, -
is_parent sed perservere... ·
"Errare humanum est, sed in errare perseverare diabolicum" (Seneca, 62 A.D.)To err is human, to stay in error diabolical.
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is_parent Game
Game provides a closed system whereby we are allowed to commit errors (& learn from them) without major consequences for real life. What is Your most favori-
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Homo ludens
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Homo ludens, or "the playing human," is a concept introduced by cultural theorist Johan Huizinga, highlighting play as a fundamental aspect of human culture. Th
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is_parent Supervised learning 🔊
Supervised learning is a type of machine learning where a model is trained on labeled data to learn the mapping between input features and corresponding outputs-
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Classifiers
A classifier in machine learning is a model or algorithm designed to categorize data into predefined groups or labels. It takes input data, analyzes its feature-
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Support Vector Machines
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A Support Vector Machine (SVM) is a machine learning method that helps divide data into categories. Imagine drawing a line (or boundary) on a graph to separate -
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Decision Trees
A Decision Tree is a visual and intuitive machine learning method that makes decisions by asking questions about the data. It works like a flowchart, starting w-
is_parent Exercicio: AI Unplugged 1 ·
You will form teams of two and use the training data to develop criteria for distinguishing biting from non-biting monkeys. These must be clearly noted so that
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Training
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In supervised machine learning, training is the process of teaching a model, like a classifier, to make accurate predictions by learning patterns from labeled d -
is_parent Validating ·
In supervised machine learning, *validating* is the process of fine-tuning and assessing a model's performance during training to ensure it generalizes well to -
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Testing ·
In supervised machine learning, *testing* (or *inference*) is the process of evaluating a trained model's ability to make accurate predictions on new, unseen da -
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Evaluation
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Binary classifiers are evaluated by comparing their predictions to the actual outcomes using a confusion matrix. This is a table with four categories: True Posi -
is_parent Supervised learning & Human learning
Supervised learning parallels human learning through its reliance on guidance from labeled examples, similar to how humans learn with feedback. For instance, wh-
is_parent Categorization ·
Categorization is a fundamental human cognitive process where we group objects, ideas, or experiences based on shared characteristics.
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Reinforcement learning
Reinforcement learning (RL) is a machine learning paradigm where an agent learns to make decisions by interacting with an environment. Instead of being told wha-
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From supervised to reinforcement learning
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Supervised learning resembles a structured classroom environment, where explicit feedback is given for each example (e.g., a teacher correcting a student's answ -
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Law of Effect
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When satisfaction follows association, it is more likely to be repeated. -
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Agent-Environment Framework
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In machines, reinforcement learning (RL) is implemented using an agent-environment framework. The agent interacts with an environment by taking actions based on -
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Q-learning
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Q-learning is a model-free reinforcement learning algorithm that enables an agent to learn an optimal policy for decision-making. It works by estimating the Q-v -
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Deep reinforcement learning
DRL is a type of machine learning where an agent learns to make decisions by trial and error, guided by rewards or penalties, using deep neural networks. Unlike-
is_parent AlphaGO ·
In 2016, AlphaGo stunned the world by defeating Go champion Lee Sedol, proving that AI could outthink humans in one of the most complex games ever. Using deep l
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is_parent Repetitio ·
Experiential learning, Unsupervised learning, Supervised learning, Classifiers & Machine Learning ... -
is_parent Hebb's Law
"Cells that fire together, wire together."-
is_parent Explanation ·
When two neurons in the brain activate at the same time repeatedly, their connection strengthens. This makes it easier and more probable for one to trigger the -
is_parent Art Analogy ·
Imagine practicing a particular brushstroke over and over. Each time, your hand and brain coordinate, and with practice, the connection becomes stronger and the
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is_parent Conditioning ·
Conditioning is a learning process where an individual forms associations between stimuli or behaviors and their outcomes. It can be divided into two main types
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is_parent Social learning
Social learning is "a process in which individuals learn by observing the behaviors of others, imitating them, and experiencing the consequences of these action-
is_parent Social Learning Theory
Albert Bandura’s Social Learning Theory (1977) revolutionized psychology by emphasizing that learning occurs in a social context through observation, imitation,-
is_parent Observational Learning ·
Learning happens by watching others and imitating their behavior, even without direct reinforcement. Example: A child learns aggression by observing an aggressi -
is_parent Four Key Processes of Social Learning ·
Attention: The learner must focus on the model’s behavior. Retention: The behavior must be stored in memory for later retrieval. Reproduction: The learner -
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Vicarious Reinforcement
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Vicarious means experiencing something indirectly, through someone else, rather than firsthand. It comes from the Latin vicarius, meaning "substitute" or "actin -
is_parent Reciprocal Determinism ·
Behavior, cognition, and the environment interact in a dynamic way. Example: A student’s shyness (personal factor) affects classroom participation (behavi
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is_parent Machine Learning ·
Machine Learning -
is_parent Peer learning ·
Peer learning -
is_parent Human-Machine Peer Learning ·
Human-Machine Peer Learning -
is_parent Teaching, Pedagogy, Didactics ·
Teaching, Pedagogy, Didactics -
is_parent Artificial Teacher Avatars ·
Artificial Teacher Avatars -
is_parent Extended Educational Environments ·
Extended Educational Environments -
is_parent Four pillars of learning
Active engagement:::Attention:::Error Feedback:::Consolidation-
is_parent Active engagement ·
Active engagement -
is_parent Attention ·
Attention -
is_parent Error Feedback ·
Error Feedback -
is_parent Consolidation ·
Consolidation
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