what are knowledge based agents?
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Knowledge-based agents are those agents who have the capability of maintaining an internal state of knowledge, reason over that knowledge, update their knowledge after observations and take actions. These agents can represent the world with some formal representation and act intelligently.
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Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.
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RPA relies on basic technologies that are easy to implement and understand such as macro scripts and workflow automation. It is rule-based, does not involve much coding, and uses an 'if-then' approach to processing. Cognitive automation, on the other hand, is a knowledge-based approach.
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AI is helping the real estate agents for predicting the future value of the property in the target market. The AI technology makes it possible by combining the marketplace data and CRM. It helps to link information from various sources, including transportation, crime, schools, and marketplace activity.
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Knowledge Work Systems The following KWS types will be described in this section: Document Management System, Case-Based Reasoning System, Experts System, and Artificial Neural Network. Each has different capabilities in regard to particular steps in the knowledge management process.
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What are Agent and Environment? An agent is anything that can perceive its environment through sensors and acts upon that environment through effectors. ... A software agent has encoded bit strings as its programs and actions.
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A change agent, or agent of change, is someone who promotes and enables change to happen within any group or organization.
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What is knowledge in business? Business knowledge is an important strategic asset. It is a sum of skills, experiences, capabilities and expert insight, which you collectively create and rely on in your business. As a shared resource, knowledge shapes and affects all the activities in and around your business.
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AI is referred as a combination of cognitive automation, hypothesis generation and analysis, reason, machine learning (ML), natural language processing, and intention algorithm mutation to produce insights and analytics at or above human capability. ... RPA is process-driven and AI is data-driven.
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Is RPA part of AI? Artificial Intelligence is an umbrella term for technologies like RPA and it also describes a computer's ability to mimic human thinking. RPA is a rule-based software that has no intelligence and automates repetitive tasks.
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Knowledge industries are those industries which are based on their intensive use of technology and/or human capital. ... Some industries that are included in this category include education, consulting, science, finance, insurance, health service, and communications.
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In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.
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['1) Posteriori knowledge :', '2) Priori knowledge :', '3) Dispersed knowledge :', '4) Domain knowledge :', '5) Empirical knowledge :', '6) Encoded knowledge :', '7) Explicit knowledge :', '8) Known unknowns :']
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Collaborative knowledge creation and knowledge sharing is at the core of KMS. Web-based discussion boards or forums make idea exchange easier than ever. Employees gain near-instant access to suggestions and answers that help them resolve interactions quickly, accurately, and consistently.
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Artificial intelligence (AI) specialists program computers to "think." Some AI specialists work in cognitive simulation, in which computers are used to test hypotheses about how the human mind works. ... Expert systems are used in the fields of medicine, law, geology, and accounting.
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['Knowledge is contextual and it can be re-used.', 'Benefits of knowledge obtained only if it is applied.', 'The values of knowledge may change over time.', 'Knowledge has to be renewed or maintained.', 'It can be difficult to transfer, capture and distribute knowledge.', 'It is developed through learning processes.']
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['Action.', 'Agent-oriented.', 'Array-oriented.', 'Automata-based.', 'Concurrent computing. Relativistic programming.', 'Data-driven.', 'Declarative (contrast: Imperative) ... ', 'Differentiable.']