Blockchain Definition Blockchain can be defined as a continuously growing chain of blocks, which is a decentralized, distributed, and immutable database that records the derivations of digital assets. Every user of the network can reach consensus without trusting each other. It is the world’s most trusted compact cryptocurrency company. It connects theContinue Reading
Blockchain Terminologies: In this section, we will learn about a few terminologies used in Blockchain technology. Understanding these terms will help you to learn the blockchain technology in an efficient way. 1. Transaction A transaction in Blockchain is defined as the unit of a task that is stored in the records.Continue Reading
Blockchain Architecture Let’s study the Blockchain architecture by understanding its various components: What is a Block? A Blockchain is a chain of blocks which contain information. The data which is stored inside a block depends on the type of blockchain. For Example, A Bitcoin Block contains information about the Sender,Continue Reading
History of Blockchain: Satoshi Nakamoto modeled the first Blockchain and explained the details of how a technology was well-found to enhance digital trust, given the immutable and decentralization aspect that says nobody would ever be in control of anything. 1991 Two scientist Stuart Haber and W. Scott Stornetta provided working of a cryptographical chain of blocks where no oneContinue Reading
The 21st century is all about digitalization and technology. With the rising need for modernization in our daily lives, people are exploring new technologies. Blockchain technology has created a stir in the past few years. we will be learning about every aspect of Blockchain technology. We will deal with the role andContinue Reading
The agents use the utility theory for making decisions. It is the mapping from lotteries to the real numbers. An agent is supposed to have various preferences and can choose the one which best fits his necessity. Utility scales and Utility assessments To help an agent in making decisions andContinue Reading
DBN is a temporary network model that is used to relate variables to each other for adjacent time steps. Each part of a Dynamic Bayesian Network can have any number of Xivariables for states representation, and evidence variables Et. A DBN is a type of Bayesian networks. Dynamic Bayesian Networks were developedContinue Reading
Hidden Markov Model is a partially observable model, where the agent partially observes the states. This model is based on the statistical Markov model, where a system being modeled follows the Markov process with some hidden states. In simple words, it is a Markov model where the agent has someContinue Reading
Probabilistic Reasoning Probabilistic Reasoning is the study of building network models which can reason under uncertainty, following the principles of probability theory. Bayesian Networks Bayesian network is a data structure which is used to represent the dependencies among variables. It is used to represent any full joint distribution. Bayesian networksContinue Reading
The concept of quantifying uncertainty relies on how an agent can keep away uncertainty with a degree of belief. The term uncertainty refers to that situation or information which is either unknown or imperfect. Earlier, we have seen that the problem-solving agents rely on the belief states (which represents allContinue Reading
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