Please help me answer this1. Four(4) main types of artificial intelligence based on their functionalities and capabilities2. Seven(7) types of mobile learning3. eight(8) types of cloud computing
Answer (2)
Answer:1. Four main types of artificial intelligence based on their functionalities and capabilities: a. Reactive AI: This type of AI is the most basic and it only reacts to the current situation without any memory of the past. It does not have the ability to learn from past interactions and only responds to the immediate environment. Examples include simple video games like chess or Pong, where the AI reacts to the player's moves without any long-term strategy. b. Limited Memory AI: This AI has the ability to remember and learn from the recent past, making it capable of using historical data for decision-making. It can improve its performance over time by learning from past experiences within a limited scope. Examples include autonomous vehicles that use sensory data to navigate and make decisions based on traffic patterns and weather conditions. c. Theory of Mind AI: This advanced form of AI is still in development and aims to understand human emotions, beliefs, and intentions. It would be able to interact with humans more naturally and predict human behavior by understanding the underlying mental states. It is expected to be used in fields like psychotherapy and education. d. Self-Aware AI: The most sophisticated type of AI, self-aware AI, possesses consciousness and has a deep understanding of itself. It can think, learn, and make decisions based on its own internal states and experiences. This is the kind of AI seen in science fiction, which can make complex decisions and understand the context of the world around it. It is not yet fully realized in the present day.2. Seven types of mobile learning: a. Microlearning: Short, focused learning sessions that can be completed in a few minutes. This type of learning is designed to help learners absorb information in small chunks, which is particularly useful for those with limited time or attention spans. b. Gamification: Using game elements in educational content to motivate and engage learners. This can include point systems, rewards, and challenges to make learning more interactive and enjoyable. c. Social Learning: Involves collaborative and interactive learning through social media platforms or mobile apps where learners can share ideas, ask questions, and learn from each other. d. Performance Support Tools: Providing employees with quick access to job-related information and resources to improve performance on the go. e. Mobile-Optimized eLearning: Courses that are specifically designed to be accessed and completed on mobile devices, often including interactive elements and multimedia content. f. Augmented Reality (AR) and Virtual Reality (VR): These technologies overlay digital information onto the real world or immerse learners in a virtual environment to enhance the learning experience. g. Personalized Learning: Tailored learning experiences that adapt to individual preferences, pace, and performance. h. Just-in-Time Learning: Providing learning resources exactly when they are needed, often at the point of need, to help learners solve immediate problems or fill knowledge gaps quickly
Answer: 1.Reactive Machines, Limited Memory, Theory of Mind, and Self-Aware AI2.Microlearning, Video and Audio-based Learning, Text-based Learning, Virtual Instructor-led Training, Virtual Reality Learning, Gamification, and Mobile Networking.
