AI and Education: Celebrating 30 years of Marriage - CEUR
... To mentor effectively and support individuals or groups, intelligent tutors will assess learning activities and model changes that occur in learners. Estimates of a learner’s competence or emotional state, stored in user models, represent what learners know, feel, and can do. When and how was knowl ...
... To mentor effectively and support individuals or groups, intelligent tutors will assess learning activities and model changes that occur in learners. Estimates of a learner’s competence or emotional state, stored in user models, represent what learners know, feel, and can do. When and how was knowl ...
Syllabus P140C (68530) Cognitive Science
... A: are you human? B: What do you think? I am a Supreme Ruler. A: seriously B: I am always serious. A: who was Turing? B: A brilliant and tragic figure in the history of computer science. A: Do you think the Turing test is a good one? B: Some of them can. A: are you having a good day? B: I am having ...
... A: are you human? B: What do you think? I am a Supreme Ruler. A: seriously B: I am always serious. A: who was Turing? B: A brilliant and tragic figure in the history of computer science. A: Do you think the Turing test is a good one? B: Some of them can. A: are you having a good day? B: I am having ...
CSC 599: Computational Scientific Discovery
... Greedy search 1. Use information theory to find best attribute to split data 2. Split data on that attribute 3. Recursively Continue until either: a) No more attributes to split on (label with majority class) b) All instances are in same class (label with that class) ...
... Greedy search 1. Use information theory to find best attribute to split data 2. Split data on that attribute 3. Recursively Continue until either: a) No more attributes to split on (label with majority class) b) All instances are in same class (label with that class) ...
pvrjgbocs_tclt-oct04 - DSpace Open Universiteit
... Adaptation in the context of eLearning is about creating a learner experience that purposely adjusts to various conditions (e.g. personal characteristics, pedagogical knowledge, the learner interactions, the outcome of the actual learning processes) over a period of time with the intention of increa ...
... Adaptation in the context of eLearning is about creating a learner experience that purposely adjusts to various conditions (e.g. personal characteristics, pedagogical knowledge, the learner interactions, the outcome of the actual learning processes) over a period of time with the intention of increa ...
SOLO Team - waikatobop
... What effect will it have on birds and insects, and how will that in turn affect us? What do we need to think about here? ...
... What effect will it have on birds and insects, and how will that in turn affect us? What do we need to think about here? ...
Web of Thought
... proof procedures and completeness This is a distraction from the real world! Rule engines don't scale well, especially for 2nd and higher order logics ...
... proof procedures and completeness This is a distraction from the real world! Rule engines don't scale well, especially for 2nd and higher order logics ...
Artificial Neural Network (ANN)
... knowledge. This is similar to our learning experience in adulthood “For example, often in our working environment we are thrown into a project or situation which we know very little about. However, we try to familiarize with the situation as quickly as possible using our previous experiences, educat ...
... knowledge. This is similar to our learning experience in adulthood “For example, often in our working environment we are thrown into a project or situation which we know very little about. However, we try to familiarize with the situation as quickly as possible using our previous experiences, educat ...
The overview and history of AI
... Reasoning: artificial neural network trained with backpropagation ...
... Reasoning: artificial neural network trained with backpropagation ...
Privacy Preserving Bayes-Adaptive MDPs
... Modeling of the customer’s purchase behavior as a MDP Goal: optimal catalog mailing strategy that maximizes long-term profit Customer status & mailing records, and their purchase patterns Should be managed separately by two or more enterprises But, we still want to learn the optimal policy w ...
... Modeling of the customer’s purchase behavior as a MDP Goal: optimal catalog mailing strategy that maximizes long-term profit Customer status & mailing records, and their purchase patterns Should be managed separately by two or more enterprises But, we still want to learn the optimal policy w ...
Artificial Intelligence and the Singularity
... • Scales well with memory/data/computation • Solves the representation learning problem • State-of-the-art for images, audio, language, ... ...
... • Scales well with memory/data/computation • Solves the representation learning problem • State-of-the-art for images, audio, language, ... ...
Reinforcement Learning Reinforcement Learning General Problem
... – World: You get a reward of 1 and you are now in state 63, you have a choice of 3 actions – Robot: I’ll take action 3 – World: You get a reward of -10 and you are now in state 12, you have a choice of 4 actions ...
... – World: You get a reward of 1 and you are now in state 63, you have a choice of 3 actions – Robot: I’ll take action 3 – World: You get a reward of -10 and you are now in state 12, you have a choice of 4 actions ...
Learning Efficient Logic Programs Andrew Cropper Imperial College London, United Kingdom
... hypotheses is optimised. This approach, however, fails to distinguish between the efficiencies of hypothesised programs, such as quick sort (O(n log n)) and bubble sort (O(n2 )). We address this issue by considering techniques to minimise both the resource complexity and textual complexity of hypoth ...
... hypotheses is optimised. This approach, however, fails to distinguish between the efficiencies of hypothesised programs, such as quick sort (O(n log n)) and bubble sort (O(n2 )). We address this issue by considering techniques to minimise both the resource complexity and textual complexity of hypoth ...
cognitive theories of learning as the basis for didactic metapro
... social behaviours in this other person (socialisation assumption). The common feature of the aforementioned assumptions formulated by various directions in cognitive psychology, is that gaining experience relies on creating dichotomous (white and black, small and big, light and dark) representations ...
... social behaviours in this other person (socialisation assumption). The common feature of the aforementioned assumptions formulated by various directions in cognitive psychology, is that gaining experience relies on creating dichotomous (white and black, small and big, light and dark) representations ...
Learning companions 1
... (LC = learning companions) • Kim, Y. (2007). Desirable characteristics of learning companions. International Journal of ...
... (LC = learning companions) • Kim, Y. (2007). Desirable characteristics of learning companions. International Journal of ...
Why This Course?
... Drug discovery (computational biology) Disease understanding - Alzheimer’s Disease from images Robotics – learning to move Sarcos robot arm ...
... Drug discovery (computational biology) Disease understanding - Alzheimer’s Disease from images Robotics – learning to move Sarcos robot arm ...
Psychology312-2_002 - Northwestern University
... We now refer to this effort also as “Neural Correlates of Behavior.” Note that word, “Behavior…” ...
... We now refer to this effort also as “Neural Correlates of Behavior.” Note that word, “Behavior…” ...
MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY
... We consider the problem of actively learning a mapping X ! Y based on a set of training examples f(xi; yi )gmi=1 , where xi 2 X and yi 2 Y . The learner is allowed to iteratively select new inputs x~ (possibly from a constrained set), observe the resulting output y~, and incorporate the new examples ...
... We consider the problem of actively learning a mapping X ! Y based on a set of training examples f(xi; yi )gmi=1 , where xi 2 X and yi 2 Y . The learner is allowed to iteratively select new inputs x~ (possibly from a constrained set), observe the resulting output y~, and incorporate the new examples ...
Psychology312-2_001 - Northwestern University
... We now refer to this effort also as “Neural Correlates of Behavior.” Note that word, “Behavior…” ...
... We now refer to this effort also as “Neural Correlates of Behavior.” Note that word, “Behavior…” ...
Ensemble Learning
... Generally, to get a good ensemble, the base learners should be as more accurate as possible, and as more diverse as possible. This has been formally shown by Krogh and Vedelsby [3], and emphasized by many other people. There are many effective processes for estimating the accuracy of learners, such ...
... Generally, to get a good ensemble, the base learners should be as more accurate as possible, and as more diverse as possible. This has been formally shown by Krogh and Vedelsby [3], and emphasized by many other people. There are many effective processes for estimating the accuracy of learners, such ...
Business Ethics
... A Pluralistic Society • Prevents power from being concentrated in the hands of a few. • Maximizes freedom of expression and action, and strikes a balance between monism, on the one hand, and anarchy on the other. • Creates a widely diversified set of loyalties to many organizations, and minimizes t ...
... A Pluralistic Society • Prevents power from being concentrated in the hands of a few. • Maximizes freedom of expression and action, and strikes a balance between monism, on the one hand, and anarchy on the other. • Creates a widely diversified set of loyalties to many organizations, and minimizes t ...
UKENDO Support concept for creation and use of marine
... • Several thousand rules (marine doctrines) determine the tasks the staff of a military ship has to perform. The rules apply to people from the chief officer to the sea man. •The rules exist somehow and somewhere. • How do we structure the rules in order to have the right information available at th ...
... • Several thousand rules (marine doctrines) determine the tasks the staff of a military ship has to perform. The rules apply to people from the chief officer to the sea man. •The rules exist somehow and somewhere. • How do we structure the rules in order to have the right information available at th ...
original
... Learner Can Generate Useful Queries Next Tuesday: When and Why Are Inductive Leaps Possible? CIS 530 / 730: Artificial Intelligence ...
... Learner Can Generate Useful Queries Next Tuesday: When and Why Are Inductive Leaps Possible? CIS 530 / 730: Artificial Intelligence ...
PowerPoint Presentation - Introduction to Differentiated Instruction
... Strategies for Differentiation Confused? Let’s break it down. Differentiation can include complex strategies, like writing tiered lesson plans, or it can take a more simplistic form, such as using reading buddies or think-pair-share strategies. Here is a condensed list of the continuum of different ...
... Strategies for Differentiation Confused? Let’s break it down. Differentiation can include complex strategies, like writing tiered lesson plans, or it can take a more simplistic form, such as using reading buddies or think-pair-share strategies. Here is a condensed list of the continuum of different ...