An architectural model of conscious and unconscious brain
... case of artificial agents, basic motivations are built in. Once an artificial autonomous agent is let loose in its environment, its agenda is its own and no longer influenced by the designer. Based on two decades of development we believe that the issue of conscious cognition, as an essential compon ...
... case of artificial agents, basic motivations are built in. Once an artificial autonomous agent is let loose in its environment, its agenda is its own and no longer influenced by the designer. Based on two decades of development we believe that the issue of conscious cognition, as an essential compon ...
Lecture notes for week 5
... Therefore, it must be true that we do NOT have these variable settings. I.e., that we pick these variables such that: NOT(x9=0, x11=0,x1=1) ...
... Therefore, it must be true that we do NOT have these variable settings. I.e., that we pick these variables such that: NOT(x9=0, x11=0,x1=1) ...
"Abstractions and Hierarchies for Learning and Planning
... Pack Kaelbling, Thomas L. Dean, and Craig Boutilier. Solving very large weakly coupled Markov decision processes. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), pages 165–172, 1998. 3. Milos Hauskrecht, Nicolas Meuleau, Craig Boutilier, Leslie Pack Kaelblin ...
... Pack Kaelbling, Thomas L. Dean, and Craig Boutilier. Solving very large weakly coupled Markov decision processes. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), pages 165–172, 1998. 3. Milos Hauskrecht, Nicolas Meuleau, Craig Boutilier, Leslie Pack Kaelblin ...
AI Magazine - Intelligent and Mobile Agents Research Group
... supply chain, connected living room, and personal assistants. Such systems understand not just words, but intentions and the context of the interaction. Such architectures are expected to dramatically improve the quality of proactive decision support provided by virtual agents by enabling them to se ...
... supply chain, connected living room, and personal assistants. Such systems understand not just words, but intentions and the context of the interaction. Such architectures are expected to dramatically improve the quality of proactive decision support provided by virtual agents by enabling them to se ...
ni.uni-osnabrueck.de - Cognitive Science
... mathematical objects, thus ensuring that its theorems are novel. The creation of new recursive functions on these objects. Recursive functions are created by defining how the function behaves on the base objects and then how it behaves on successive objects in terms of its behaviour on earlier ones. ...
... mathematical objects, thus ensuring that its theorems are novel. The creation of new recursive functions on these objects. Recursive functions are created by defining how the function behaves on the base objects and then how it behaves on successive objects in terms of its behaviour on earlier ones. ...
Expert System
... is the science of making machines imitate human thinking and behavior. AI helps machines perform tasks that require complex and varying sets of steps such as retrieving debris from the ocean floor. ...
... is the science of making machines imitate human thinking and behavior. AI helps machines perform tasks that require complex and varying sets of steps such as retrieving debris from the ocean floor. ...
... Conventional computing programs characterize through an algorithm approach as the specialists called it. This approach allows solving a problem by using a preset computing scheme which applies to some structures well-known for input information and produces a result that keep to program operations s ...
Christopher Thomas UMIACS Center - Kno.e.sis
... large amounts of data. This included: • Different partitioning algorithms that split the Temporal Multi-Activity graphs that are underlying the temporal stochastic automata. – based on temporal distribution of states – based on estimated workload • A distributed activity index to store observation s ...
... large amounts of data. This included: • Different partitioning algorithms that split the Temporal Multi-Activity graphs that are underlying the temporal stochastic automata. – based on temporal distribution of states – based on estimated workload • A distributed activity index to store observation s ...
Lecture 2 - Artificial Intelligence: Foundations of Computational Agents
... Fully-observable : the agent can observe the state of the world. Partially-observable : there can be a number states that are possible given the agent’s observations. ...
... Fully-observable : the agent can observe the state of the world. Partially-observable : there can be a number states that are possible given the agent’s observations. ...
Overview of Artificial Intelligence
... • Psychological perspective – What is the nature of “human intelligence”? – Cognitive science – concept representations, internal world model, information processing metaphor – role of ST/LT memory? visualization? emotions? analogy? creativity? – build programs to simulate inference, learning... ...
... • Psychological perspective – What is the nature of “human intelligence”? – Cognitive science – concept representations, internal world model, information processing metaphor – role of ST/LT memory? visualization? emotions? analogy? creativity? – build programs to simulate inference, learning... ...
Research in Decision-Theoretic Planning and Scheduling
... tracking and Min-Conflicts algorithms, and are experimenting with a least-commitment search algorithm based on BPS. Wehave also done very preliminary experiments on preprocessing and branchand-bound techniques that reason about the utility function to achieve tighter bounds. ...
... tracking and Min-Conflicts algorithms, and are experimenting with a least-commitment search algorithm based on BPS. Wehave also done very preliminary experiments on preprocessing and branchand-bound techniques that reason about the utility function to achieve tighter bounds. ...
The calculus of self-modifiable algorithms: planning, scheduling and
... designed to be a universal theory for intelligent and parallel systems, integrating various styles of programming and applied in different domains of future generation computers. The use of artificial intelligence in future generation computers requires different forms of parallelism, learning, reas ...
... designed to be a universal theory for intelligent and parallel systems, integrating various styles of programming and applied in different domains of future generation computers. The use of artificial intelligence in future generation computers requires different forms of parallelism, learning, reas ...
Applying Global Workspace Theory to the Frame Problem
... The frame problem was originally couched as a difficulty within classical Artificial Intelligence: How can we build a program capable of inferring the effects of an action without reasoning explicitly about all its obvious noneffects? But many philosophers saw the frame problem as symptomatic of a w ...
... The frame problem was originally couched as a difficulty within classical Artificial Intelligence: How can we build a program capable of inferring the effects of an action without reasoning explicitly about all its obvious noneffects? But many philosophers saw the frame problem as symptomatic of a w ...
Automation of Question Generation From Sentences
... (with deep questions, such as why, what-if, how questions) and shallow QG (with shallow questions, such as who, what, when, where, which, how many/much, yes/no questions) ([12]). Different systems have been proposed or implemented to facilitate QG research and applications. These systems can be divi ...
... (with deep questions, such as why, what-if, how questions) and shallow QG (with shallow questions, such as who, what, when, where, which, how many/much, yes/no questions) ([12]). Different systems have been proposed or implemented to facilitate QG research and applications. These systems can be divi ...
The Unconscious Mind as a Means for Authentication - E
... lead to identification of Imprints of Unconscious Processes – IUPs – and these could be extracted to create an authentication. The feasibility of IUPs as a new model for authentication led us to propose and begin studying five main hypotheses15. We simplify here, but these hypotheses provided a fram ...
... lead to identification of Imprints of Unconscious Processes – IUPs – and these could be extracted to create an authentication. The feasibility of IUPs as a new model for authentication led us to propose and begin studying five main hypotheses15. We simplify here, but these hypotheses provided a fram ...
emotions, learning and control
... have been summarized under the term combinatorial complexity (CC) (Perlovsky 2001). The problem was first identified in pattern recognition and classification problems in the 1960s and was named “the curse of dimensionality” (Bellman 1961). The following thirty years of developing adaptive statistic ...
... have been summarized under the term combinatorial complexity (CC) (Perlovsky 2001). The problem was first identified in pattern recognition and classification problems in the 1960s and was named “the curse of dimensionality” (Bellman 1961). The following thirty years of developing adaptive statistic ...
Industrial And Engineering Applications Of Artificial
... paderborn germany, pdf free download industrial and engineering - pdf free download industrial and engineering applications or artificial intelligence and expert systems takushi tanaka for ipad click here http, the 25th international conference on industrial - artificial intelligence on industrial e ...
... paderborn germany, pdf free download industrial and engineering - pdf free download industrial and engineering applications or artificial intelligence and expert systems takushi tanaka for ipad click here http, the 25th international conference on industrial - artificial intelligence on industrial e ...
The use of theorem-proving techniques in question
... and modify. New question types and data structures frequently interacted with previous ones in subtle ways that required major portions of the system to be reprogrammed. A valuable feature missing from such experimental question answerers is the ability to store in the data base general facts about ...
... and modify. New question types and data structures frequently interacted with previous ones in subtle ways that required major portions of the system to be reprogrammed. A valuable feature missing from such experimental question answerers is the ability to store in the data base general facts about ...
Lab Presentation.
... http://www.jabberwacky.com. (Note: there are several different bots there.) • Chatbot? Or not? http://www.markconnell.com/mark/chat.asp ...
... http://www.jabberwacky.com. (Note: there are several different bots there.) • Chatbot? Or not? http://www.markconnell.com/mark/chat.asp ...
Synthetic Worlds and the Future of Creative Writing
... refuses to use unadulterated torture, even when the stakes are as high as they are in this case; and even “tough tactics,” such as a punch to the face, while for him admissible, are things he hates to even ponder, let alone implement. Gray is of the opinion that the Judeo-Christian ethic that he has ...
... refuses to use unadulterated torture, even when the stakes are as high as they are in this case; and even “tough tactics,” such as a punch to the face, while for him admissible, are things he hates to even ponder, let alone implement. Gray is of the opinion that the Judeo-Christian ethic that he has ...
Curriculum Vitae, September 2008
... Cambridge, June 1986. M.Phil. in Computer Speech and Language Processing, Department of Engineering, University of Cambridge, October 1987. Ph.D. in Computer Science, Computer Laboratory, University of Cambridge, July 1992. Appointments Held April 1990 – February 1997: Research Associate (AR1A), Dep ...
... Cambridge, June 1986. M.Phil. in Computer Speech and Language Processing, Department of Engineering, University of Cambridge, October 1987. Ph.D. in Computer Science, Computer Laboratory, University of Cambridge, July 1992. Appointments Held April 1990 – February 1997: Research Associate (AR1A), Dep ...
Reconstructing Physical Symbol Systems
... as symbolic. In describing Brooks’ creatures, they say that “sensory information is converted to symbols, which are then processed and evaluated in order to determine the appropriate motor symbols that lead to behavior” (p. 34). Yet elsewhere they confer symbolic status on retinal images themselves, ...
... as symbolic. In describing Brooks’ creatures, they say that “sensory information is converted to symbols, which are then processed and evaluated in order to determine the appropriate motor symbols that lead to behavior” (p. 34). Yet elsewhere they confer symbolic status on retinal images themselves, ...
Artificial Intelligence (AI): Trying to Get Computers to Think Like Us
... AI is a field older than most realize – the term was coined in the mid 1950s. The field is comprised of many subfields but the main focus is on building intelligent entities. In order to achieve this goal many subcomponents need to be built, including methods for assisting computers to think like hu ...
... AI is a field older than most realize – the term was coined in the mid 1950s. The field is comprised of many subfields but the main focus is on building intelligent entities. In order to achieve this goal many subcomponents need to be built, including methods for assisting computers to think like hu ...
Notes 1: Introduction to Artificial Intelligence
... • assume the computer can recognize all the words • how many different interpretations are there? – 1. time passes quickly like an arrow? – 2. command: time the flies the way an arrow times the flies – 3. command: only time those flies which are like an arrow – 4. “time-flies” are fond of arrows • o ...
... • assume the computer can recognize all the words • how many different interpretations are there? – 1. time passes quickly like an arrow? – 2. command: time the flies the way an arrow times the flies – 3. command: only time those flies which are like an arrow – 4. “time-flies” are fond of arrows • o ...
Biomimetics—using nature to inspire human innovation
... requirements for tasks such as perception, reasoning and learning, to allow the development of systems that have these capabilities (Russell and Norvig 2003). According to the American Association for Artificial Intelligence (AAAI), artificial intelligence (AI) is: “the scientific understanding of t ...
... requirements for tasks such as perception, reasoning and learning, to allow the development of systems that have these capabilities (Russell and Norvig 2003). According to the American Association for Artificial Intelligence (AAAI), artificial intelligence (AI) is: “the scientific understanding of t ...
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.""↑ ↑ ↑ ↑ ↑ ↑