Last Lecture Today
... is often limited and not understood by others – The approach of each expert to a situation assessment may be different yet correct – It is difficult to abstract good situational assessments when under time pressure – Users of ES have natural cognitive limits – ES work well only within a narrow domai ...
... is often limited and not understood by others – The approach of each expert to a situation assessment may be different yet correct – It is difficult to abstract good situational assessments when under time pressure – Users of ES have natural cognitive limits – ES work well only within a narrow domai ...
Filename: sloman-clowestribute
... devised ways of presenting material, and running seminars, which were intended to help the students build up confidence as well as understanding and skills. There is no doubt that for many students the result was an unforgettable learning experience. Whether they became expert programmers or not, th ...
... devised ways of presenting material, and running seminars, which were intended to help the students build up confidence as well as understanding and skills. There is no doubt that for many students the result was an unforgettable learning experience. Whether they became expert programmers or not, th ...
CS 561a: Introduction to Artificial Intelligence
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
... • AI research has both theoretical and experimental sides. The experimental side has both basic and applied aspects. • There are two main lines of research: • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • ...
On-line Error Analysis Using AI techniques A first sight
... representation is the production rule, or simply rule. A rule consists of an IF part and a THEN part (also called a condition and an action). The IF part lists a set of conditions in some logical combination. The piece of knowledge represented by the production rule is relevant to the line of reason ...
... representation is the production rule, or simply rule. A rule consists of an IF part and a THEN part (also called a condition and an action). The IF part lists a set of conditions in some logical combination. The piece of knowledge represented by the production rule is relevant to the line of reason ...
Soran University Artificial Intelligence Module Specification 1
... engineering approaches to Artificial Intelligence. Starting with a history of AI and considering philosophical questions about thinking machines and consciousness. The module will then use the Agent based paradigm for covering such classical topics as search, planning, logic, and knowledge represent ...
... engineering approaches to Artificial Intelligence. Starting with a history of AI and considering philosophical questions about thinking machines and consciousness. The module will then use the Agent based paradigm for covering such classical topics as search, planning, logic, and knowledge represent ...
Searching with Partial Information
... • When the states of the environment and actions are uncertain, the agent has to explore its environment to gather information • In a partially observable world one cannot determine a fixed action sequence in advance, but needs to condition actions on future percepts • As the agent can gather new kn ...
... • When the states of the environment and actions are uncertain, the agent has to explore its environment to gather information • In a partially observable world one cannot determine a fixed action sequence in advance, but needs to condition actions on future percepts • As the agent can gather new kn ...
Here`s the beef: Answer Set Programming
... encoding, they become often lost in the flat of declarativity. The solving process is completely transparent. No handle is available for finding out why the wrong or no solution is obtained. Also, when performance matters, it is still an art to come up with an efficient encoding, and often the resul ...
... encoding, they become often lost in the flat of declarativity. The solving process is completely transparent. No handle is available for finding out why the wrong or no solution is obtained. Also, when performance matters, it is still an art to come up with an efficient encoding, and often the resul ...
Lecture Title
... • Has a potential to solve difficult problems current methods can not solve well (realistic reasons): – Pattern classification: hand-written characters, facial expression, engine diagnosis, etc. – Non-linear time series modeling, forecasting: Stock price, utility forecasting, ecg/eeg/emg, speech, et ...
... • Has a potential to solve difficult problems current methods can not solve well (realistic reasons): – Pattern classification: hand-written characters, facial expression, engine diagnosis, etc. – Non-linear time series modeling, forecasting: Stock price, utility forecasting, ecg/eeg/emg, speech, et ...
Graph Logic Model Framework for Predictive Linguistic Analysis
... into Russian in 1960 and the growth of frequency of Russian translational equivalent of “machine thinks” indicates this. John McCarthy who coined the term Artificial Intelligence (AI) in 1955, defined it as “the science and engineering of making intelligent machines”. There is no strong evidence tho ...
... into Russian in 1960 and the growth of frequency of Russian translational equivalent of “machine thinks” indicates this. John McCarthy who coined the term Artificial Intelligence (AI) in 1955, defined it as “the science and engineering of making intelligent machines”. There is no strong evidence tho ...
PPT
... Why do we need another paradigm than symbolic AI for building “intelligent” machines? • Symbolic AI is well-suited for representing explicit knowledge that can be appropriately formalized. • However, learning in biological systems is mostly implicit – it is an adaptation process based on uncertain i ...
... Why do we need another paradigm than symbolic AI for building “intelligent” machines? • Symbolic AI is well-suited for representing explicit knowledge that can be appropriately formalized. • However, learning in biological systems is mostly implicit – it is an adaptation process based on uncertain i ...
Role of artificial intelligence and knowledge
... the past thirty years has recently produced a "spinoff, comparable in its potential impact to software engineering, called knowledge engineering, concerned with the development of programs variously referred to as knowledge-based systems, expert systems, or knowledge-based expert systems (KBES). KBE ...
... the past thirty years has recently produced a "spinoff, comparable in its potential impact to software engineering, called knowledge engineering, concerned with the development of programs variously referred to as knowledge-based systems, expert systems, or knowledge-based expert systems (KBES). KBE ...
Computers Can`t Be Intelligent (...and Turing Said So)
... computes a result, the human uses it. If it does not, it uses the automatic response. This fills the gaps in the values of the partially computable functions with something – not necessarily the best something – that provides the mind with a response. That’s fine, but here’s the kicker. If we do tha ...
... computes a result, the human uses it. If it does not, it uses the automatic response. This fills the gaps in the values of the partially computable functions with something – not necessarily the best something – that provides the mind with a response. That’s fine, but here’s the kicker. If we do tha ...
CV - Nova Southeastern University
... My research concerns the intersection between artificial intelligence and information security. In particular I am working to develop new adaptive intelligent systems that can be applied to protect computer systems and networks. These techniques include the use of advanced neural networks in the det ...
... My research concerns the intersection between artificial intelligence and information security. In particular I am working to develop new adaptive intelligent systems that can be applied to protect computer systems and networks. These techniques include the use of advanced neural networks in the det ...
Artificial Intelligence - Workforce of the Future
... spend more than half of their time on coordination and control tasks, the very responsibilities that are expected to be most impacted by AI (see Figure 1). Administrative and routine tasks, such as scheduling, allocation of resources, and reporting, will fall within the remit of intelligent machines ...
... spend more than half of their time on coordination and control tasks, the very responsibilities that are expected to be most impacted by AI (see Figure 1). Administrative and routine tasks, such as scheduling, allocation of resources, and reporting, will fall within the remit of intelligent machines ...
Book review of: R. Turner, Logics for AI
... philosophical work in logic and epistemology to problems in AI (artificial intelligence). AI research is nothing if not eclectic in inspiration, and much use has been made in AI work of academic philosophy. The book under review is a case in point, for it surveys non-standard logic with an eye to it ...
... philosophical work in logic and epistemology to problems in AI (artificial intelligence). AI research is nothing if not eclectic in inspiration, and much use has been made in AI work of academic philosophy. The book under review is a case in point, for it surveys non-standard logic with an eye to it ...
I A Sensitivity Analysis of Pathfinder
... is based entirely on the presence of hairy cells. Noisy probabilities associated with that one key symptom have a significant negative impact on the system's ability to detect the disease. More complicated diagnoses, in which many features play a role, are less susceptible to the vagaries of a singl ...
... is based entirely on the presence of hairy cells. Noisy probabilities associated with that one key symptom have a significant negative impact on the system's ability to detect the disease. More complicated diagnoses, in which many features play a role, are less susceptible to the vagaries of a singl ...
The Phil of AI 2 - Digital Encyclopedia of Charles S. Peirce
... scenario, call it "E", where a suitably-programmed computer takes the same inputs and yields the same outputs. For just as the performance of D might simulate the performance of C, even though D knows no Chinese, so the performance of E might simulate the performance of D, even though E possesses no ...
... scenario, call it "E", where a suitably-programmed computer takes the same inputs and yields the same outputs. For just as the performance of D might simulate the performance of C, even though D knows no Chinese, so the performance of E might simulate the performance of D, even though E possesses no ...
the Future is Now - Machine Learning X
... of cases heard at the European Court of Human Rights, with a 79% accuracy. Lead researcher Dr Nikolaos Aletras, from University College London, told the Today programme the system would not spell the end of judges but could be used to prioritise cases most likely to involve human rights violations. ...
... of cases heard at the European Court of Human Rights, with a 79% accuracy. Lead researcher Dr Nikolaos Aletras, from University College London, told the Today programme the system would not spell the end of judges but could be used to prioritise cases most likely to involve human rights violations. ...
Document
... In addition to the usual problems that arise during software development (e.g., selection of the hardware, choice of the programming language and the programming tools) there is the need to incorporate expert knowledge about the problem domain into a software system to make it an expert system. The ...
... In addition to the usual problems that arise during software development (e.g., selection of the hardware, choice of the programming language and the programming tools) there is the need to incorporate expert knowledge about the problem domain into a software system to make it an expert system. The ...
Robotics and artificial intelligence
... is already found in aspects of daily life, from using voice recognition software on a smart phone, to filtering spam out of an email inbox. 6. Machines have also become more adept at translating one language into another, though they do not ‘understand’ language in the same way as a human. They str ...
... is already found in aspects of daily life, from using voice recognition software on a smart phone, to filtering spam out of an email inbox. 6. Machines have also become more adept at translating one language into another, though they do not ‘understand’ language in the same way as a human. They str ...
On the synergy of network science and artificial intelligence
... models [Mocanu et al., 2016b], inspired by complex network concepts, capable to have faster computational time (e.g. 2 orders of magnitude faster than an RBM with 1000 visible and 1000 hidden neurons) at almost no cost in performance. Moreover, we speculate that variants of this model may be used to ...
... models [Mocanu et al., 2016b], inspired by complex network concepts, capable to have faster computational time (e.g. 2 orders of magnitude faster than an RBM with 1000 visible and 1000 hidden neurons) at almost no cost in performance. Moreover, we speculate that variants of this model may be used to ...
CYBERNETICS: A Definition
... renewed search for solutions that mirror the past approaches of cybernetics. Warren McCulloch and Walter Pitts were the first to propose a synthesis of neurophysiology and logic that tied the capabilities of brains to the limits of Turing computability [McCulloch & Pitts 1965]. The euphoria that fol ...
... renewed search for solutions that mirror the past approaches of cybernetics. Warren McCulloch and Walter Pitts were the first to propose a synthesis of neurophysiology and logic that tied the capabilities of brains to the limits of Turing computability [McCulloch & Pitts 1965]. The euphoria that fol ...
Slides - Department of Computer Science and Electrical Engineering
... e.g., symbolic integration, proving theorems, playing chess, medical diagnosis ...
... e.g., symbolic integration, proving theorems, playing chess, medical diagnosis ...