full document - Intelligent Systems Laboratory
... the AIP [Dean, 1996]. These states are represented as CLanguage functions. Three major FSM-based CGF systems are the Close Combat Tactical Trainer (CCTT) [Ourston, 1995], ModSAF [Calder, 1993], and IST-SAF [Smith, 1992]. These systems all employ FSMs as the representational paradigm. The knowledge f ...
... the AIP [Dean, 1996]. These states are represented as CLanguage functions. Three major FSM-based CGF systems are the Close Combat Tactical Trainer (CCTT) [Ourston, 1995], ModSAF [Calder, 1993], and IST-SAF [Smith, 1992]. These systems all employ FSMs as the representational paradigm. The knowledge f ...
Slides
... What does this family of distributions mean? It just assigns probabilities to multi-agent environments. Complex agents with complex/adaptive behaviour are much more likely in this distribution, for large values of i. The distribution is completely different for low and high values of i. Hi ...
... What does this family of distributions mean? It just assigns probabilities to multi-agent environments. Complex agents with complex/adaptive behaviour are much more likely in this distribution, for large values of i. The distribution is completely different for low and high values of i. Hi ...
Intelligent Systems - Teaching-WIKI
... • Chess-playing computer developed by IBM that won against world champion Garry Kasparov in 1997. • Applied a brute force strategy, processing was highly parallel. • Evaluation of 200 million positions per second. • Deep Blue's knowledge base contained over 4,000 positions and 700,000 grandmaster ga ...
... • Chess-playing computer developed by IBM that won against world champion Garry Kasparov in 1997. • Applied a brute force strategy, processing was highly parallel. • Evaluation of 200 million positions per second. • Deep Blue's knowledge base contained over 4,000 positions and 700,000 grandmaster ga ...
PPT Presentation
... • Neural networks with fuzzy data • Genetic Algorithms with fuzzy fitness • Evolutionary optimization of fuzzy systems • Evolutionary design of neural networks ...
... • Neural networks with fuzzy data • Genetic Algorithms with fuzzy fitness • Evolutionary optimization of fuzzy systems • Evolutionary design of neural networks ...
PDF - JMLR Workshop and Conference Proceedings
... observations, thus enabling the POMDP’s structure to be learned. But, if the POMDP’s structure is not known in advance, this information is not available, making it unclear how to collect the necessary statistics. Thus, in many ways, the POMDP induction problem has elements in common with grammatica ...
... observations, thus enabling the POMDP’s structure to be learned. But, if the POMDP’s structure is not known in advance, this information is not available, making it unclear how to collect the necessary statistics. Thus, in many ways, the POMDP induction problem has elements in common with grammatica ...
SatPlan: Planning as Satisfiability
... and implemented for PDDL input in the Blackbox system (Kautz & Selman 1999). Like Blackbox, SatPlan2006 accepts the STRIPS subset of PDDL and finds solutions with minimal parallel length: that is, many (non-interfering) actions may occur in parallel at each time step, and the total number of time st ...
... and implemented for PDDL input in the Blackbox system (Kautz & Selman 1999). Like Blackbox, SatPlan2006 accepts the STRIPS subset of PDDL and finds solutions with minimal parallel length: that is, many (non-interfering) actions may occur in parallel at each time step, and the total number of time st ...
View PDF - Advances in Cognitive Systems
... exhibit intelligence, we are not referring to their ability to recognize concepts, perceive objects, or execute complex motor skills, which they share with other animals like dogs and cats. These abilities are clearly important for agents that operate in physical environments, but they are not disti ...
... exhibit intelligence, we are not referring to their ability to recognize concepts, perceive objects, or execute complex motor skills, which they share with other animals like dogs and cats. These abilities are clearly important for agents that operate in physical environments, but they are not disti ...
The Mathematics of Causal Inference
... Judea Pearl is a professor of computer science and statistics at the University of California, Los Angeles. He joined the faculty of UCLA in 1970, where he currently directs the Cognitive Systems Laboratory and conducts research in artificial intelligence and philosophy of science. He has authored t ...
... Judea Pearl is a professor of computer science and statistics at the University of California, Los Angeles. He joined the faculty of UCLA in 1970, where he currently directs the Cognitive Systems Laboratory and conducts research in artificial intelligence and philosophy of science. He has authored t ...
Intro to Information Systems
... case ends by asking the question of whether we can ever build a machine more intelligent than a human. The real question is what will we do with it, or with us, if we are successful. In small groups, Brainstorm ...
... case ends by asking the question of whether we can ever build a machine more intelligent than a human. The real question is what will we do with it, or with us, if we are successful. In small groups, Brainstorm ...
document
... What is Intelligence? • Is there a “holistic” definition for intelligence? • Here are some definitions: – the ability to comprehend; to understand and profit from experience – a general mental capability that involves the ability to reason, plan, solve problems, think abstractly, comprehend ideas a ...
... What is Intelligence? • Is there a “holistic” definition for intelligence? • Here are some definitions: – the ability to comprehend; to understand and profit from experience – a general mental capability that involves the ability to reason, plan, solve problems, think abstractly, comprehend ideas a ...
Introduction of Artificial Moral Agent Incorporating Soar and Global
... - Development of Artificial Moral Agent integrating Soar and ROS referring to morality of 10-years-old human level - Application of AMA to social/care robots - Establishment of Moral Turing Test with suitable scenarios - Preparation of Functional Morality for certification of commercial robots ...
... - Development of Artificial Moral Agent integrating Soar and ROS referring to morality of 10-years-old human level - Application of AMA to social/care robots - Establishment of Moral Turing Test with suitable scenarios - Preparation of Functional Morality for certification of commercial robots ...
available here - Moving AI Lab
... from interaction with the real world. Our goal is to build the brains, i.e., the continual-learning AI software, that will let everyday things that sense and act get smarter with experience. This experience will be shared across devices and domains to allow the rapid scaling-up of learning. The foun ...
... from interaction with the real world. Our goal is to build the brains, i.e., the continual-learning AI software, that will let everyday things that sense and act get smarter with experience. This experience will be shared across devices and domains to allow the rapid scaling-up of learning. The foun ...
The intelligent piece of paper
... the highly intelligent teachers there). Wax lyrical about how intelligent it is without saying why. Wave it around while keeping the written side hidden from the audience. The set-up: Ask the audience if they believe you and have a show of hands: first, those who believe it is intelligent and then t ...
... the highly intelligent teachers there). Wax lyrical about how intelligent it is without saying why. Wave it around while keeping the written side hidden from the audience. The set-up: Ask the audience if they believe you and have a show of hands: first, those who believe it is intelligent and then t ...
Tales From a Pod - University of Essex
... though they were truly part of a fictional physical world. An essential part of the technology was creating the synthesised characters, and bestowing them with sufficient natural and spontaneous behaviour so as to convince the human participant that they were real people. This was an enormous challe ...
... though they were truly part of a fictional physical world. An essential part of the technology was creating the synthesised characters, and bestowing them with sufficient natural and spontaneous behaviour so as to convince the human participant that they were real people. This was an enormous challe ...
Living or not?
... called intelligent. His test for artificial intelligence was to see whether or not a human could tell if they were interacting with a robot or another human being. 6. a) Create a test of your own that would help you decide whether or not a robotic pet was intelligent like an animal pet. b) According ...
... called intelligent. His test for artificial intelligence was to see whether or not a human could tell if they were interacting with a robot or another human being. 6. a) Create a test of your own that would help you decide whether or not a robotic pet was intelligent like an animal pet. b) According ...
The Periodic Table of AI Intelligence The question of what
... “The town councilors refused to give the demonstrators a permit because they feared violence.” These sentences are used to determine if systems can apply
knowledge of concepts like size, politics and human goals to the understanding
process. The assumption in this proposal is that long-t ...
... “The town councilors refused to give the demonstrators a permit because they feared
Alan Turing Biography
... In the lobby you can watch a video biography of Alan Turing and know the contents available in all areas. There will also be an interactive table with which the visitor can interact with an augmented reality experience. In the second room, visitors learn about the Enigma machine and understand how T ...
... In the lobby you can watch a video biography of Alan Turing and know the contents available in all areas. There will also be an interactive table with which the visitor can interact with an augmented reality experience. In the second room, visitors learn about the Enigma machine and understand how T ...
Kevin_Noonan_AIProject
... one(s) will get from an initial state to the final (goal) state. A state-space search for AI and AI gaming is relatively smaller than a regular search graph. When a state-space search is created in AI, the initial state is received and so is the goal state. When the search is begun, it moves the ini ...
... one(s) will get from an initial state to the final (goal) state. A state-space search for AI and AI gaming is relatively smaller than a regular search graph. When a state-space search is created in AI, the initial state is received and so is the goal state. When the search is begun, it moves the ini ...
Progress and Challenges in Interactive Cognitive Systems
... Three Hypotheses for Cognitive Systems Newell and Simon (1976) proposed two hypotheses that underlie most work on cognitive systems: • The ability to encode, manipulate, and interpret symbol structures is necessary and sufficient for general intelligent action. • Problem solving involves heuristi ...
... Three Hypotheses for Cognitive Systems Newell and Simon (1976) proposed two hypotheses that underlie most work on cognitive systems: • The ability to encode, manipulate, and interpret symbol structures is necessary and sufficient for general intelligent action. • Problem solving involves heuristi ...
Artificial Intelligence as Philosophy and as Psychology Philosophers
... SHRDLU.7 Its behavior is remarkably versatile, but it does not reveal a rich knowledge of interpersonal relations, of the difference between requests and orders, of being cooperative with other people under appropriate circumstances. (It should be added that Winograd's paper makes it very explicit w ...
... SHRDLU.7 Its behavior is remarkably versatile, but it does not reveal a rich knowledge of interpersonal relations, of the difference between requests and orders, of being cooperative with other people under appropriate circumstances. (It should be added that Winograd's paper makes it very explicit w ...
AI - Department of Computer Science and Electrical Engineering
... It’s been easier to mechanize many of the high-level tasks we usually associate with “intelligence” in people e.g., symbolic integration, proving theorems, playing chess, medical diagnosis It’s been very hard to mechanize tasks that lots of animals can do ...
... It’s been easier to mechanize many of the high-level tasks we usually associate with “intelligence” in people e.g., symbolic integration, proving theorems, playing chess, medical diagnosis It’s been very hard to mechanize tasks that lots of animals can do ...
The Foundations of AI and Intelligent Agents
... Computer Science & Engineering, University of Nevada, Reno ...
... Computer Science & Engineering, University of Nevada, Reno ...
The 14th International Conference on Artificial Intelligence in
... the cross-fertilization of techniques from many fields that make up this interdisciplinary research area, including: artificial intelligence, computer science, cognitive and learning sciences, education, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the ma ...
... the cross-fertilization of techniques from many fields that make up this interdisciplinary research area, including: artificial intelligence, computer science, cognitive and learning sciences, education, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the ma ...
Artificial General Intelligence through Large
... structures that underlie particular scenes and the syntactic structures that underlie particular utterances. These variables depend on the facts in the world: a scene or utterance typically provides a window on some piece of the world history. The additional arrow from tendencies to utterance struc ...
... structures that underlie particular scenes and the syntactic structures that underlie particular utterances. These variables depend on the facts in the world: a scene or utterance typically provides a window on some piece of the world history. The additional arrow from tendencies to utterance struc ...
School of Science and Technology – Vice
... is a term used in healthcare to refer to people's daily self-care activities. They are defined as "the things we normally do, such as feeding ourselves, bathing, dressing, grooming, work, homemaking, and leisure. Transfer learning (aka inductive transfer), is a research hypothesis in machine learnin ...
... is a term used in healthcare to refer to people's daily self-care activities. They are defined as "the things we normally do, such as feeding ourselves, bathing, dressing, grooming, work, homemaking, and leisure. Transfer learning (aka inductive transfer), is a research hypothesis in machine learnin ...