Introductory lectures - cse.sc.edu
... figure out how memories are actually stored in a biological brain," says University of Reading professor Kevin Warwick, one of the principal architects of Gordon. Gordon has a brain composed of 50,000 to 100,000 active neurons. Their specialized nerve cells were laid out on a nutrient-rich medium ac ...
... figure out how memories are actually stored in a biological brain," says University of Reading professor Kevin Warwick, one of the principal architects of Gordon. Gordon has a brain composed of 50,000 to 100,000 active neurons. Their specialized nerve cells were laid out on a nutrient-rich medium ac ...
EC42073 Artificial Intelligence (Elective
... 2. Kishan Mehrotra, Sanjay Rawika, K. Mohan, “Arificial Neural Network” 3. Rajendra Akerkar, “Introduction to Artificial Intelligance”, Prentice Hall Publication TERMWORK: Term work will consist of record of minimum 08 experiments out of the following list ...
... 2. Kishan Mehrotra, Sanjay Rawika, K. Mohan, “Arificial Neural Network” 3. Rajendra Akerkar, “Introduction to Artificial Intelligance”, Prentice Hall Publication TERMWORK: Term work will consist of record of minimum 08 experiments out of the following list ...
in my own words The Future Comes on Two Robotic Feet
... processes that mimic natural selection. This wasn’t an actual robot—it was artificial intelligence—but I saw immediately that this was the brain of a robot. That was my first experience with AI and robotics, and I immediately wanted more. Turning robots inside out I wanted to go to Carnegie Mellon b ...
... processes that mimic natural selection. This wasn’t an actual robot—it was artificial intelligence—but I saw immediately that this was the brain of a robot. That was my first experience with AI and robotics, and I immediately wanted more. Turning robots inside out I wanted to go to Carnegie Mellon b ...
CMPS 470, Spring 2008 Syllabus
... In this course the student will be presented with an overview of the Machine Learning. We will introduce the topic and study a selection of techniques. The class will be presented using a both a mix of theory, exercises and programming. Machine Learning is an interesting topic, and our book covers a ...
... In this course the student will be presented with an overview of the Machine Learning. We will introduce the topic and study a selection of techniques. The class will be presented using a both a mix of theory, exercises and programming. Machine Learning is an interesting topic, and our book covers a ...
Cognitive robotics in JOURNAL OF EXPERIMENTAL
... of beliefs from visual and linguistic information, and the use of these beliefs for planning system behaviour to satisfy internal drives. The system is able to detect gaps in its knowledge and to plan and execute actions that provide information needed to fill these gaps. A hierarchy of mechanisms i ...
... of beliefs from visual and linguistic information, and the use of these beliefs for planning system behaviour to satisfy internal drives. The system is able to detect gaps in its knowledge and to plan and execute actions that provide information needed to fill these gaps. A hierarchy of mechanisms i ...
this - Athabasca Landing
... Lived space – “felt space” – the space in which we are located (spatiality) Lived time – subjective time, as opposed to clock time (temporality) ...
... Lived space – “felt space” – the space in which we are located (spatiality) Lived time – subjective time, as opposed to clock time (temporality) ...
BBE 4102 Intelligent Systems
... Theory and implementation of a variety of techniques used to simulate intelligent behavior. Expert systems, fuzzy logic, neural networks, evolutionary computation, and two-player game-tree search will be covered in depth. Knowledge representation, pattern recognition, hybrid approaches, and handling ...
... Theory and implementation of a variety of techniques used to simulate intelligent behavior. Expert systems, fuzzy logic, neural networks, evolutionary computation, and two-player game-tree search will be covered in depth. Knowledge representation, pattern recognition, hybrid approaches, and handling ...
The Biointelligence Explosion How recursively self
... 1946 (cf. ENIAC); nor are they conscious subjects in 2012 (cf. "Watson") (Baker 2011); nor do researchers know how any kind of sentience may be "programmed" in future. So what if anything does consciousness do? Is it computationally redundant? Pre-reflectively, we tend to have a "dimmer-switch" mode ...
... 1946 (cf. ENIAC); nor are they conscious subjects in 2012 (cf. "Watson") (Baker 2011); nor do researchers know how any kind of sentience may be "programmed" in future. So what if anything does consciousness do? Is it computationally redundant? Pre-reflectively, we tend to have a "dimmer-switch" mode ...
Cybersecurity, Artificial Intelligence, and Autonomous
... Autonomy: the ability to problem solve; the power to act; the power to change course; ability to create a new goal. We cannot know a priori what an autonomous system will do. Known Unknowns: • Emergent behaviors • Whatever system design we use, there will be cybersecurity problems arising from compu ...
... Autonomy: the ability to problem solve; the power to act; the power to change course; ability to create a new goal. We cannot know a priori what an autonomous system will do. Known Unknowns: • Emergent behaviors • Whatever system design we use, there will be cybersecurity problems arising from compu ...
The IJCAI-09 Workshop on General Game Playing
... game-playing agents capable of matching wits with the strongest humans in the world, resulting in several success stories for games like e.g. chess and checkers. The success of such systems has been for a part due to years of relentless knowledge-engineering effort on behalf of the program developer ...
... game-playing agents capable of matching wits with the strongest humans in the world, resulting in several success stories for games like e.g. chess and checkers. The success of such systems has been for a part due to years of relentless knowledge-engineering effort on behalf of the program developer ...
neuro-ontological interpretation of spiritual experiences
... of creative imagination. That is, something maladaptive resides in us universally and stays with us persistently, because it is closely tied to an adaptive trait; that is creativity in present case. The most permissive, dispassionate scientific approach accepts universality to be sufficient for esta ...
... of creative imagination. That is, something maladaptive resides in us universally and stays with us persistently, because it is closely tied to an adaptive trait; that is creativity in present case. The most permissive, dispassionate scientific approach accepts universality to be sufficient for esta ...
4-up pdf - Computer Sciences Department
... “AI is the study of complex information processing problems that often have their roots in some aspect of biological information processing. The goal of the subject is to identify solvable and interesting information processing problems, and solve them.” − David Marr The intelligent connection of pe ...
... “AI is the study of complex information processing problems that often have their roots in some aspect of biological information processing. The goal of the subject is to identify solvable and interesting information processing problems, and solve them.” − David Marr The intelligent connection of pe ...
10b - Developmental 2 (Cognitive) Notes
... A second perspective on cognitive development: Vygotsky o Instead of structural epistemology: Cognitive development mediated by cultural context Interactions between child and environment Zone of proximal development Learning happens best out of the interaction between independent learning a ...
... A second perspective on cognitive development: Vygotsky o Instead of structural epistemology: Cognitive development mediated by cultural context Interactions between child and environment Zone of proximal development Learning happens best out of the interaction between independent learning a ...
Artificial Intelligence
... symbol hypothesis of Newell and Simon (1981). • Essentially this hypothesis considers that knowledge consists of symbols of reality and relationships between these symbols and that intelligence is the appropriate logical manipulation of the symbols and their relations. • Although Newell an Simon dev ...
... symbol hypothesis of Newell and Simon (1981). • Essentially this hypothesis considers that knowledge consists of symbols of reality and relationships between these symbols and that intelligence is the appropriate logical manipulation of the symbols and their relations. • Although Newell an Simon dev ...
Kære kollegaer,
... through experience - the consequences will be far-reaching. For example, it will be possible to make a computer ordinate an optimal treatment for a new disease using its past experience from treatment of a series of related diseases. Providing learning capabilities to computers will lead to many new ...
... through experience - the consequences will be far-reaching. For example, it will be possible to make a computer ordinate an optimal treatment for a new disease using its past experience from treatment of a series of related diseases. Providing learning capabilities to computers will lead to many new ...
Research projects & needs
... on it, over time, in pursuit of its own agenda. • It must have built in sensors, effectors, and drives, or primitive motivators. ...
... on it, over time, in pursuit of its own agenda. • It must have built in sensors, effectors, and drives, or primitive motivators. ...
Document
... How people represent knowledge, goals, and beliefs How humans utilize knowledge to draw inferences How people acquire new knowledge from experience We still have much to gain by following this strategy, even when an artifact’s operation differs in its details. ...
... How people represent knowledge, goals, and beliefs How humans utilize knowledge to draw inferences How people acquire new knowledge from experience We still have much to gain by following this strategy, even when an artifact’s operation differs in its details. ...
How Much AI Does a Cognitive Science Major Need to Know?
... One point to makeimmediately is that cognitive scientists need to have a good understanding of computation in general. If one of the fundamental claims of cognitive science is that the mind is somehowcomputational, then it follows that cognitive scientists need to know about computation. But "comput ...
... One point to makeimmediately is that cognitive scientists need to have a good understanding of computation in general. If one of the fundamental claims of cognitive science is that the mind is somehowcomputational, then it follows that cognitive scientists need to know about computation. But "comput ...
Sanghi+Dowe_IQ_Paper_JIntConfCogSci2003
... non-human earthling or extraterrestrial could be expected to struggle on an English-language I.Q. test. ...
... non-human earthling or extraterrestrial could be expected to struggle on an English-language I.Q. test. ...
Artificial Intelligence I Introductory Notes
... simple principle. All they do is note from the current position all the possible positions that can be made from all possible moves, then all positions that can be made from all possible moves from them and so on to a certain number of moves in advance. All that then has to be done is to search thro ...
... simple principle. All they do is note from the current position all the possible positions that can be made from all possible moves, then all positions that can be made from all possible moves from them and so on to a certain number of moves in advance. All that then has to be done is to search thro ...
Question: Intelligent Robotics?
... Adaptability – Adjustment to the task being carried out. Robot must be able to complete the task no matter what interferences occur in the environment Versatility- robot should have such a mechanical structure that it carries out different tasks / same task in different ways ...
... Adaptability – Adjustment to the task being carried out. Robot must be able to complete the task no matter what interferences occur in the environment Versatility- robot should have such a mechanical structure that it carries out different tasks / same task in different ways ...
Cognitive Systems Flyer
... multi-purpose tool, as exemplified by the use of “command lines” and “desktops” at the interface between humans and computers. The unparalleled prevalence of computing-enabled devices in our everyday lives, and the widespread access to information over the Web, suggests a more apt metaphor for a mod ...
... multi-purpose tool, as exemplified by the use of “command lines” and “desktops” at the interface between humans and computers. The unparalleled prevalence of computing-enabled devices in our everyday lives, and the widespread access to information over the Web, suggests a more apt metaphor for a mod ...
Philosophy of artificial intelligence
The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑