Pdf artificial intelligence technique

The number of attached more refined pattern recognition. So in the practice of trying workplaces lead to heavy traffic, more security attack vectors, to secure properties, such as online ticket reservations, the security breaches and lot more that the cyber area cannot be profitable security market is in a way stimulating advances handled by humans while not sizeable automation.

Be that as in artificial intelligence. It has turned out to be evident that attacks and is an integral part of our solutions. Cyber security computing applications and analyses the views of improving the cyber security abilities by suggesting AI applications and the already existing methods.

Machine learning and Artificial Intelligence AI are being connected Artificial Intelligence practices are the key to Interference more extensively crosswise over industries and applications detection and make it possible to respond even to than any other time in recent memory as computing power, anonymous threats before spreading itself. Artificial storage capacities and data collection increase.

This vast Intelligence systems that are intended to learn and adapt, measure of information can't be dealt with by people and are proficient of identifying even the minutes of changes progressively.

With machine learning and AI, that peak of in the settings, have the potential to act much earlier and data could be carved down in fraction of time, which helps based on vast trove of data than humans when it comes to the enterprise to identify and recover from the security analyzing novel types of cyber-attacks.

Artificial Intelligence researchers were interested in developing programs to decrease human work, An Expert System is a computer system that copies the while security professionals trying to fix the outflow of decision making ability of a human.

This is a best example of information. But the two fields have grown closer over the Knowledge based system. These knowledge-based systems time, when the attacks have targeted to simulate the genuine are composed of two sub-systems: the Knowledge Base and performance, not only at the human user level but also at the Inference Engine.

The knowledge base represents the lower system levels. It evaluates the very good example of connection of artificial intelligence and current situation of the knowledge base and applies the rules security. This requires end-user to insert the letters of some relevant to that, then asserts new knowledge in to it.

When they enforced in Engine. Neural nets can permit the exact detection of new malware threats Table 1: Components of Expert Systems and fill in the dangerous gaps that leave organizations wide- open to attacks. Intelligent End Point Usage Statistics agents may likewise learn or use knowledge base to accomplish their objectives. A reflex machine, for example, thermostat Engine Connection Attempts is an intelligent agent.

It has the behavior like understanding Connection Patterns agent interaction language, pro-activeness and reactivity. Frequency of Program Use They can adapt to real time, learn new things rapidly Document Usage through communication with environment, and have memory based standard storage and recovery abilities.

Cyber Police should have mobile intelligent agents. For this we should device the infrastructure to support the quality and interaction between the intelligent A.

Security Expert System agents. Multi-agent tools will give a lot of full-fledged operative appearance of the cyber police.

The Security expert system follows a set of rules to battle cyber-attacks. It checks the process with the knowledge base 4. If there is A. Expert Systems no such process in knowledge base, then using inference engine algorithms rule sets , the expert system finds out the - Decision Support machine state. The machine state has been composed into - Intrusion Detection three states namely safe, moderate and severe. According to - Knowledge Base the machine state, the system alerts the administrator or the - Inference Engine user about the status, and then the inference has been feed to Knowledge base.

Neural Nets 3. It is inspired by the functions and - Forensic Investigation working of the human brain. Our brain has several neurons, which are largely general purpose and domain-independent. Intelligent Agents It can learn any type of data. In Frank Rosenblatt created an artificial neuron Perceptron which paved the - Proactive way for neural networks.

Basic understanding of some of the more advanced topics of AI such as learning, natural language processing, agents and robotics, expert systems, and planning. Introduction to artificial intelligence: Introduction , history, intelligent systems, foundations of AI, applications, tic-tac-tie game playing, development of ai languages, current trends in AI.

Logic concepts: Introduction, propositional calculus, proportional logic, natural deduction system, axiomatic system, semantic tableau system in proportional logic, resolution refutation in proportional logic, predicate logic. Knowledge representation: Introduction, approaches to knowledge representation, knowledge representation using the semantic network, extended semantic networks for KR, knowledge representation using frames advanced knowledge representation techniques: Introduction, conceptual dependency theory, script structure, cyc theory, case grammars, semantic web.

Expert system and applications: Introduction phases in building expert systems, expert system versus traditional systems, rule-based expert systems blackboard systems truth maintenance systems, application of expert systems, list of shells and tools.

Uncertainty measure: probability theory: Introduction, probability theory, Bayesian belief networks, certainty factor theory, dempster-shafer theory Fuzzy sets and fuzzy logic: Introduction, fuzzy sets, fuzzy set operations, types of membership functions, multi valued logic, fuzzy logic, linguistic variables and hedges, fuzzy propositions, inference rules for fuzzy propositions, fuzzy systems.

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Share this article with your classmates and friends so that they can also follow Latest Study Materials and Notes on Engineering Subjects. Artificial Intelligence Notes For CSE 6th sem Artificial intelligence basics pdf lecture notes of artificial intelligence Artificial intelligence lecture notes ppt Artificial intelligence handwritten notes introduction to artificial intelligence pdf download Artificial Intelligence Question Paper To have basic proficiency in a traditional AI language including an ability to write simply to intermediate programs and an ability to understand code written in that language.

Discuss the tic-tac-toe problem in detail and explain how it can be solved using AI techniques? Describe the different control strategies used in problem-solving? Consider the following sentences: i. John likes all kinds of food.

Apples are food iii. Chicken is food iv. Bill eats peanuts and is still alive. Sue eats everything Bill eats. What are the frames?