Artificial Intelligence
... engineering of making intelligent machines, especially intelligent computer programs”. Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human b ...
... engineering of making intelligent machines, especially intelligent computer programs”. Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human b ...
Toward a Theory of Intelligence - Boston College Computer Science
... It is not enough, of course, for a machine merely to have these two components. Before a learner/doer system can be considered intelligent, those components will have to perform at a certain level and one of the main questions I want to ask in this paper is “What level might that be?” The level reac ...
... It is not enough, of course, for a machine merely to have these two components. Before a learner/doer system can be considered intelligent, those components will have to perform at a certain level and one of the main questions I want to ask in this paper is “What level might that be?” The level reac ...
The intelligent piece of paper
... follow exactly the instruction and helping them understand where they are being told to go if need be. For example, “opposite corner”, means the diagonally opposite corner. This can later lead to a discussion of why special programming languages are needed: to be precise about what is to be done. So ...
... follow exactly the instruction and helping them understand where they are being told to go if need be. For example, “opposite corner”, means the diagonally opposite corner. This can later lead to a discussion of why special programming languages are needed: to be precise about what is to be done. So ...
ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
... As ES mimics a human expert, it is capable of making mistakes as much as the expert does. For example, if the expert provides wrong rules, the system will make a wrong diagnosis. Also, ES frequently work with incomplete information. Therefore, they provide probabilistic advice, e.g., they are not su ...
... As ES mimics a human expert, it is capable of making mistakes as much as the expert does. For example, if the expert provides wrong rules, the system will make a wrong diagnosis. Also, ES frequently work with incomplete information. Therefore, they provide probabilistic advice, e.g., they are not su ...
Course Wrap-up
... So this is essentially a personal remark about P vs. NP problem; I believe this is a very challenging and deep and interesting mathematical question, but I think one that has no computer science meaning whatsoever. ...
... So this is essentially a personal remark about P vs. NP problem; I believe this is a very challenging and deep and interesting mathematical question, but I think one that has no computer science meaning whatsoever. ...
School of Science and Technology – Vice
... The aim of this research is to combine three concepts; Transfer Learning (TL), Fuzzy System (FS) and Activity Recognition (AR) to address the problem of learning and recognising Activities of Daily Living (ADL) in an Ambient Assisted Living environment. ADL is a term used in healthcare to refer to p ...
... The aim of this research is to combine three concepts; Transfer Learning (TL), Fuzzy System (FS) and Activity Recognition (AR) to address the problem of learning and recognising Activities of Daily Living (ADL) in an Ambient Assisted Living environment. ADL is a term used in healthcare to refer to p ...
Glossary
... cellular telephony systems that can carry voice and data circuits, as well as short packet-data messages. GUI: Graphical User Interface. That part of a computer application seen and interacted with by its user. Specifically, that part of the interface that is based upon visual structures like icons, ...
... cellular telephony systems that can carry voice and data circuits, as well as short packet-data messages. GUI: Graphical User Interface. That part of a computer application seen and interacted with by its user. Specifically, that part of the interface that is based upon visual structures like icons, ...
presentation
... Pengi (Agre & Chapman, 1987) AI has generally interpreted the organized nature of everyday activity in terms of plan-following. Nobody could doubt that people often make and follow plans. But the complexity, uncertainty, and immediacy of the real world require a central role for moment-to-moment im ...
... Pengi (Agre & Chapman, 1987) AI has generally interpreted the organized nature of everyday activity in terms of plan-following. Nobody could doubt that people often make and follow plans. But the complexity, uncertainty, and immediacy of the real world require a central role for moment-to-moment im ...
Teemu Paavolainen Postdoctoral Researcher University of Tampere
... machine" in the tacit meshworks in which they only emerge and are sustained; their social texture also spread from its youthful center to its ageing fringes. If a standard Le Corbusier house unfolds like an assembly line of theatrical vistas, then the "smart" ideal could well be imagined as an ongoi ...
... machine" in the tacit meshworks in which they only emerge and are sustained; their social texture also spread from its youthful center to its ageing fringes. If a standard Le Corbusier house unfolds like an assembly line of theatrical vistas, then the "smart" ideal could well be imagined as an ongoi ...
The Role of theThalamus in Human Consciousness
... The relay neurons of the thalamus, particularly matrix neurons that extensively interact with frontal regions, are suited for integrative function Cortical synchronization is a NCC and seems to form a dynamic core of conscious contents My (radical?) proposal: the thalamic dynamic core is ...
... The relay neurons of the thalamus, particularly matrix neurons that extensively interact with frontal regions, are suited for integrative function Cortical synchronization is a NCC and seems to form a dynamic core of conscious contents My (radical?) proposal: the thalamic dynamic core is ...
Smart Planning - Association for the Advancement of Artificial
... requiring ndlitary intervention - crisis action plmmhlg. The progranl has also concerned itself with the use of the emerging technologies in other applications and sectors. Applications pursued by the participants include civil emergencyresponses to fires and oil spills, searchtoldrescue, equipment ...
... requiring ndlitary intervention - crisis action plmmhlg. The progranl has also concerned itself with the use of the emerging technologies in other applications and sectors. Applications pursued by the participants include civil emergencyresponses to fires and oil spills, searchtoldrescue, equipment ...
Knowledge Representation
... Inferences in Semantic Networks Inference along associational links Find relationships between pairs of words – Search graphs outward from each word in a breath-first fashion – Search for a common concept or intersection node – The path between the two given words passing by this intersection node ...
... Inferences in Semantic Networks Inference along associational links Find relationships between pairs of words – Search graphs outward from each word in a breath-first fashion – Search for a common concept or intersection node – The path between the two given words passing by this intersection node ...
Review of The Cognitive Structure of Emotions
... hypothesis of Brian Smith (1982) and the physical symbol system hypothesis of Allen Newell (1980)—are not discussed at all. These hypotheses have been considered fundamental cornerstones of AI research, but they are now being questioned as posing strong limitations on AI (Dahlbäck 1989; Dreyfus 1972 ...
... hypothesis of Brian Smith (1982) and the physical symbol system hypothesis of Allen Newell (1980)—are not discussed at all. These hypotheses have been considered fundamental cornerstones of AI research, but they are now being questioned as posing strong limitations on AI (Dahlbäck 1989; Dreyfus 1972 ...
The Role of Artificial Intelligence and Expert Systems in the
... software, and the branch of computer science that develops machines and software with intelligence. Major AI researchers and textbooks define the field as "the study and design of intelligent agents", where an intelligent agent is a system that perceives its environment and takes actions that maximi ...
... software, and the branch of computer science that develops machines and software with intelligence. Major AI researchers and textbooks define the field as "the study and design of intelligent agents", where an intelligent agent is a system that perceives its environment and takes actions that maximi ...
Chapter 15 - MRS
... So far no computer has come close, in despite nearly 60 years of AI research. While some people still cling to the Turing test to define artificial intelligence, most AI researchers favor less stringent definitions. ...
... So far no computer has come close, in despite nearly 60 years of AI research. While some people still cling to the Turing test to define artificial intelligence, most AI researchers favor less stringent definitions. ...
CS564 - Brain Theory and Artificial Intelligence University of
... It is thus straightforward to go from an internal description to the corresponding external description. The reverse process is a special case of the identification problem. (. (See TMB Sec. 3.4.) For an introduction to the formal theory, see Section 3.2 of Brains, Machines and Mathematics, Second E ...
... It is thus straightforward to go from an internal description to the corresponding external description. The reverse process is a special case of the identification problem. (. (See TMB Sec. 3.4.) For an introduction to the formal theory, see Section 3.2 of Brains, Machines and Mathematics, Second E ...
Machine Intelligence: The Death of Artificial Intelligence
... linkset patterns. I chuckled when I read some of my explanations from back then because the model has been clarified through the scientific method with extensive trial and error. Science progresses as people work through today’s limitations. As in 1998, the biggest technological problems ...
... linkset patterns. I chuckled when I read some of my explanations from back then because the model has been clarified through the scientific method with extensive trial and error. Science progresses as people work through today’s limitations. As in 1998, the biggest technological problems ...
CSC 480: Artificial Intelligence
... perceives information from the environment may utilize knowledge and reasoning to select actions performs actions that may change the environment ...
... perceives information from the environment may utilize knowledge and reasoning to select actions performs actions that may change the environment ...
Editorial: Neurocomputing and Applications
... new neural network that can reasonably predict the depth to bedrock through FWD deflection data. Based on the results from the training, testing and verification sets, the developed ANN represents a significant improvement in accuracy as compared to previous analysis model. In the final regular pape ...
... new neural network that can reasonably predict the depth to bedrock through FWD deflection data. Based on the results from the training, testing and verification sets, the developed ANN represents a significant improvement in accuracy as compared to previous analysis model. In the final regular pape ...
The Experiment - Artificial Life Research – Czech Technical University
... systems. Resulting systems are able to act in a very complex and dynamic environment and can incorporate various levels of intelligence. They are able to act in very different domains with small changes. They evoke the seeming of life, but they are a form of artificial life only. The implementation ...
... systems. Resulting systems are able to act in a very complex and dynamic environment and can incorporate various levels of intelligence. They are able to act in very different domains with small changes. They evoke the seeming of life, but they are a form of artificial life only. The implementation ...
My own background - Department of Computer Science
... Is there a problem with ontologies? Are they really distinct from nets, graphs, thesauri, lexicons, and taxonomies, or are people just confused about any real or imagined differences? Does the word “ontology” have any single, clear, meaning when AI and natural language processing researchers use it? ...
... Is there a problem with ontologies? Are they really distinct from nets, graphs, thesauri, lexicons, and taxonomies, or are people just confused about any real or imagined differences? Does the word “ontology” have any single, clear, meaning when AI and natural language processing researchers use it? ...
Computer Science as Empirical Inquiry
... obvious as we extend computers to more global, complex and knowledge-intensive tasks--as we attempt to make them our agents, capable of handling on their own the full contingencies of the natural world. Our understanding of the systems requirements for intelligent action emerges slowly. It is compos ...
... obvious as we extend computers to more global, complex and knowledge-intensive tasks--as we attempt to make them our agents, capable of handling on their own the full contingencies of the natural world. Our understanding of the systems requirements for intelligent action emerges slowly. It is compos ...
AI Applications in Education - The Center for Innovative Research in
... constrained and well-specified domain of knowledge. One particularly well-known and fruitful line of work began with development of John Anderson’s ACT-R theory (Anderson, 1983, 1993). This theory models how people learn to solve problems in terms of if-then rules, called “productions.” ACT-R implem ...
... constrained and well-specified domain of knowledge. One particularly well-known and fruitful line of work began with development of John Anderson’s ACT-R theory (Anderson, 1983, 1993). This theory models how people learn to solve problems in terms of if-then rules, called “productions.” ACT-R implem ...
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.""↑ ↑ ↑ ↑ ↑ ↑