Principles of Artificial Intelligence
... AI and other disciplines Much of AI can be viewed as a subfield of CS Much of CS can be viewed as a subfield of AI AI shares many of the concerns of cognitive science, psychology, epistemology, neuroscience, linguistics, and social sciences AI has been (until recently) unique in its use of a ...
... AI and other disciplines Much of AI can be viewed as a subfield of CS Much of CS can be viewed as a subfield of AI AI shares many of the concerns of cognitive science, psychology, epistemology, neuroscience, linguistics, and social sciences AI has been (until recently) unique in its use of a ...
The Liability Problem for Autonomous Artificial Agents
... hold the people who operate the artificial systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become increasingly complex, those who build or deploy advanced AIs and robotics w ...
... hold the people who operate the artificial systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become increasingly complex, those who build or deploy advanced AIs and robotics w ...
Ryan Whitehead Bot Talk In my project, “Bot Talk” we see the
... learn from past conversations and are asked tough questions. First, my project is all about bots. “Bots” or “robots”, are simply artificial intelligence. In this case it is just a bot that can hold a simple conversation for a short time. Some robots can learn from past conversations. I compare this ...
... learn from past conversations and are asked tough questions. First, my project is all about bots. “Bots” or “robots”, are simply artificial intelligence. In this case it is just a bot that can hold a simple conversation for a short time. Some robots can learn from past conversations. I compare this ...
T Preface
... application of planning technologies in the real world, as a number of initiatives have shown the time is now ripe to start applying planning and scheduling technologies and seeing the benefits of many years of research. Evidence of this is a joint session of AIPS–96 with the participants of the $66 ...
... application of planning technologies in the real world, as a number of initiatives have shown the time is now ripe to start applying planning and scheduling technologies and seeing the benefits of many years of research. Evidence of this is a joint session of AIPS–96 with the participants of the $66 ...
View PDF - CiteSeerX
... required to diagnose a fault, only relatively easy problems can be handled at present. However, even this is highly useful because it frees experts to concentrate on the bigger problems and not have to worry so much about the smaller ones. Using an AI-based diagnosis tool that uses physicists deep k ...
... required to diagnose a fault, only relatively easy problems can be handled at present. However, even this is highly useful because it frees experts to concentrate on the bigger problems and not have to worry so much about the smaller ones. Using an AI-based diagnosis tool that uses physicists deep k ...
Predictions for Big Data Analytics in 2016
... For example, nearly 16 million people drive vehicles commercially in the United States (taxis, buses, commercial trucking, and so on). In the past, they relied primarily on intuition and prior experience to guide their decisions about which route to take. When given telematics and route optimization ...
... For example, nearly 16 million people drive vehicles commercially in the United States (taxis, buses, commercial trucking, and so on). In the past, they relied primarily on intuition and prior experience to guide their decisions about which route to take. When given telematics and route optimization ...
Components of KBS
... The possibility to justify the decisions taken during the resolution process gives credibility to the system It allows also to detect wrong assumptions or decisions during the process A system should be able to answer why and how Different levels of explanation: Trace: A list of the steps of the res ...
... The possibility to justify the decisions taken during the resolution process gives credibility to the system It allows also to detect wrong assumptions or decisions during the process A system should be able to answer why and how Different levels of explanation: Trace: A list of the steps of the res ...
MAKING A MIND vs. MODELING THE BRAIN
... thinkers began to realize that digital computers could be more than number crunchers. At that point two opposed visions of what computers could be, each with its correlated research program, emerged and struggled for recognition. One faction saw computers as a system for manipulating mental symbols; ...
... thinkers began to realize that digital computers could be more than number crunchers. At that point two opposed visions of what computers could be, each with its correlated research program, emerged and struggled for recognition. One faction saw computers as a system for manipulating mental symbols; ...
SPECIAL ISSUE ON “ARTIFICIAL INTELLIGENCE TECHNIQUES
... every real time situations. Most of the computational applications are automated which depends on computers for processing. The techniques used for processing the computational applications can be broadly classified into two categories: (a) Non-Artificial Intelligence (AI) systems & (b) Artificial I ...
... every real time situations. Most of the computational applications are automated which depends on computers for processing. The techniques used for processing the computational applications can be broadly classified into two categories: (a) Non-Artificial Intelligence (AI) systems & (b) Artificial I ...
Embodied artificial intelligence
... But this isn’t in itself devastating;11 it only becomes so if it is promoted to something like “SMPA will always get the dynamics wrong”, or, equivalently, “SMPA can never get the dynamics right”. Why might we think that is the case? Complexity. In a real-world situation, there are just too many var ...
... But this isn’t in itself devastating;11 it only becomes so if it is promoted to something like “SMPA will always get the dynamics wrong”, or, equivalently, “SMPA can never get the dynamics right”. Why might we think that is the case? Complexity. In a real-world situation, there are just too many var ...
Making Robots and Making Robots Intelligent
... Stability/performance: Steady state velocity approaches desired velocity as K → ∞. No overshoot or oscillations. Disturbance rejection: Effect of disturbances (hills) approaches zero as K → ∞ Robustness: Results don’t depend on the specific values of b, m, or K for K large ...
... Stability/performance: Steady state velocity approaches desired velocity as K → ∞. No overshoot or oscillations. Disturbance rejection: Effect of disturbances (hills) approaches zero as K → ∞ Robustness: Results don’t depend on the specific values of b, m, or K for K large ...
Foundations of Artificial Intelligence Outline
... Thinking humanly: Cognitive Science 1960s “cognitive revolution”: information-processing psychology replaced prevailing orthodoxy of behaviorism Requires scientific theories of internal activities of the brain – What level of abstraction? “Knowledge” or “circuits”? – How to validate? Requires 1) Pr ...
... Thinking humanly: Cognitive Science 1960s “cognitive revolution”: information-processing psychology replaced prevailing orthodoxy of behaviorism Requires scientific theories of internal activities of the brain – What level of abstraction? “Knowledge” or “circuits”? – How to validate? Requires 1) Pr ...
Experiments in UNIX Command Prediction
... the next command. We gather data by recording the sequence of commands executed as well as other pertinent information about the state of the shell. This forms the basis for applying an off-the-shelf inductive-learning method. To determine the potential for such methods, we collected command histori ...
... the next command. We gather data by recording the sequence of commands executed as well as other pertinent information about the state of the shell. This forms the basis for applying an off-the-shelf inductive-learning method. To determine the potential for such methods, we collected command histori ...
Artificial Intelligence!
... things just a little bit and suddenly things are not so good. Humans show their intelligence by being adaptable. Once you’ve learnt to play well going first you would probably play OK second too. Fixed rules like our noughts and crosses instructions aren’t adaptable. They do 18 Queen Mary, Universit ...
... things just a little bit and suddenly things are not so good. Humans show their intelligence by being adaptable. Once you’ve learnt to play well going first you would probably play OK second too. Fixed rules like our noughts and crosses instructions aren’t adaptable. They do 18 Queen Mary, Universit ...
Turing Test - ritesh sharma
... 1. Fully Observable : All of relevant portion of environment is observable. For example, consider an agent playing chess like the deep blue chess playing program. The agent has complete knowledge of the board. So everything about the environment is accessible to the agent. So the chess environment i ...
... 1. Fully Observable : All of relevant portion of environment is observable. For example, consider an agent playing chess like the deep blue chess playing program. The agent has complete knowledge of the board. So everything about the environment is accessible to the agent. So the chess environment i ...
The Singularity: A Reply
... faster growth combined with the Flynn effect can be expected to yield the same sort of increase over centuries, but he gives no argument for this enormous speed-up. Prima facie, these source of growth can at best be expected to lead to AI+ levels of human intelligence within centuries, not to AI++ l ...
... faster growth combined with the Flynn effect can be expected to yield the same sort of increase over centuries, but he gives no argument for this enormous speed-up. Prima facie, these source of growth can at best be expected to lead to AI+ levels of human intelligence within centuries, not to AI++ l ...
Developing Effective Robot Teammates for Human
... instrumented environments. Optimally planning one’s own actions under uncertainty is also a necessary field of study, as human populated environments are dynamic and often contain nigh-unpredictable actors. Task comprehension and knowledge transparency, particularly building shared mental models wit ...
... instrumented environments. Optimally planning one’s own actions under uncertainty is also a necessary field of study, as human populated environments are dynamic and often contain nigh-unpredictable actors. Task comprehension and knowledge transparency, particularly building shared mental models wit ...
Artificial Intelligence and Expert Systems
... plants, but they are capable only of very limited tasks. Robots have great difficulty identifying objects based on appearance or feel, and they still move and handle objects clumsily. Natural-language processing offers the greatest potential rewards because it would allow people to interact with com ...
... plants, but they are capable only of very limited tasks. Robots have great difficulty identifying objects based on appearance or feel, and they still move and handle objects clumsily. Natural-language processing offers the greatest potential rewards because it would allow people to interact with com ...
Examining the Work and Its Later Impact
... mammals there were sorta mammals and before there were dogs there were sorta dogs, and so forth. We need Darwin’s gradualism to explain the huge difference between an ape and an apple, and we need Turing’s gradualism to explain the huge difference between a humanoid robot and a hand calculator. The ...
... mammals there were sorta mammals and before there were dogs there were sorta dogs, and so forth. We need Darwin’s gradualism to explain the huge difference between an ape and an apple, and we need Turing’s gradualism to explain the huge difference between a humanoid robot and a hand calculator. The ...
1010-Chapter11 - ODU Computer Science
... plants, but they are capable only of very limited tasks. Robots have great difficulty identifying objects based on appearance or feel, and they still move and handle objects clumsily. Natural-language processing offers the greatest potential rewards because it would allow people to interact with com ...
... plants, but they are capable only of very limited tasks. Robots have great difficulty identifying objects based on appearance or feel, and they still move and handle objects clumsily. Natural-language processing offers the greatest potential rewards because it would allow people to interact with com ...
ICDM_05_yakhnenko
... Results – time/space • Generative Markov model needs one pass through training data • SVM needs several passes through data – Needs kernel computation – May not be feasible to compute kernel matrix for k > 3 – If kernel is computed as needed, can significantly slow down one iteration ...
... Results – time/space • Generative Markov model needs one pass through training data • SVM needs several passes through data – Needs kernel computation – May not be feasible to compute kernel matrix for k > 3 – If kernel is computed as needed, can significantly slow down one iteration ...
sample research areas
... Chapter 20. Content and Link Structure Analysis for Searching the Web. 431 Chapter 21. Mobile Agent Technology for Web Applications. . . . 453 Chapter 22. Intelligent Virtual Agents and the WEB. . . . . . . . . . .481 Chapter 23. Data Mining in Network Security. . . . . . . . . . . . . . . .501 Chap ...
... Chapter 20. Content and Link Structure Analysis for Searching the Web. 431 Chapter 21. Mobile Agent Technology for Web Applications. . . . 453 Chapter 22. Intelligent Virtual Agents and the WEB. . . . . . . . . . .481 Chapter 23. Data Mining in Network Security. . . . . . . . . . . . . . . .501 Chap ...
What is Automated Reasoning?
... believe that your desired theorem does indeed follow from the axioms you are assuming (possibly by using some previously proved theorems as well); but it will generally require some insight, inspiration, or at least experience, to find the right chains of reasoning. Once a proof is found, it can usu ...
... believe that your desired theorem does indeed follow from the axioms you are assuming (possibly by using some previously proved theorems as well); but it will generally require some insight, inspiration, or at least experience, to find the right chains of reasoning. Once a proof is found, it can usu ...
The 2018 IEEE International Conference on Systems, Man, and
... Proposals to organize Special Sessions are strongly encouraged. Special Sessions must be related to the conference theme or especially hot topics within the conference scope. All submitted papers undergo the same review process, and submission to proposed sessions is not a guarantee of acceptance. C ...
... Proposals to organize Special Sessions are strongly encouraged. Special Sessions must be related to the conference theme or especially hot topics within the conference scope. All submitted papers undergo the same review process, and submission to proposed sessions is not a guarantee of acceptance. C ...
To append for course “Soft computing”
... This course will provide students the basic concepts of different methods and tools of knowledge engineering for building of intelligent systems based on knowledge, such as, logic, rules, frames, semantic nets. The course will provide students the knowledge about applied intelligent systems. In part ...
... This course will provide students the basic concepts of different methods and tools of knowledge engineering for building of intelligent systems based on knowledge, such as, logic, rules, frames, semantic nets. The course will provide students the knowledge about applied intelligent systems. In part ...