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. ...
Artificial Intelligence - Department of Computing
... – Evaluate which of the acquisition methods would be most appropriate in a given situation. – Describe techniques for representing acquired knowledge in a way that facilitates automated reasoning over the knowledge. – Categorise and evaluate AI techniques according to different criteria such as appl ...
... – Evaluate which of the acquisition methods would be most appropriate in a given situation. – Describe techniques for representing acquired knowledge in a way that facilitates automated reasoning over the knowledge. – Categorise and evaluate AI techniques according to different criteria such as appl ...
Chapter 1 Psychometric Artificial General Intelligence: The Piaget
... colleagues, reporters, friends and family, and others. Even if by some fluke you’ve dodged the question, perhaps you’ve asked it yourself, maybe even perhaps (in secret moments, if you’re a practitioner) to yourself, without an immediate answer coming to mind. At any rate, AI itself repeatedly asks ...
... colleagues, reporters, friends and family, and others. Even if by some fluke you’ve dodged the question, perhaps you’ve asked it yourself, maybe even perhaps (in secret moments, if you’re a practitioner) to yourself, without an immediate answer coming to mind. At any rate, AI itself repeatedly asks ...
Computers Can`t Be Intelligent (...and Turing Said So)
... that I propose to call3 a Putnam-Gold machine, we take its last output as its result. That makes its outputs tentative because we cannot always know when an output is the last. Notice that such “machines” use only the machinery of the Turing machine, but they use it in a different way that (as I wil ...
... that I propose to call3 a Putnam-Gold machine, we take its last output as its result. That makes its outputs tentative because we cannot always know when an output is the last. Notice that such “machines” use only the machinery of the Turing machine, but they use it in a different way that (as I wil ...
On the synergy of network science and artificial intelligence
... (e.g. complex networks) in a data driven era to overpass the reductionism paradigm [Barabasi, 2012]. Complex networks are graph with non-trivial topological features and it has been found that such features are present in many real world systems [Newman, 2010] belonging to various research fields (e ...
... (e.g. complex networks) in a data driven era to overpass the reductionism paradigm [Barabasi, 2012]. Complex networks are graph with non-trivial topological features and it has been found that such features are present in many real world systems [Newman, 2010] belonging to various research fields (e ...
Research Statement
... problem domains from literature (including social welfare for competitive settings such as taxi fleets). ...
... problem domains from literature (including social welfare for competitive settings such as taxi fleets). ...
Mapping the Landscape of Human- Level Artificial General
... requirements is sure to evolve. In all probability, each of the many current AGI research paradigms could be used to spawn a slightly different requirements list, but we must start somewhere if we are to make progress as a community. To test the capability of any AGI system, the characteristics of t ...
... requirements is sure to evolve. In all probability, each of the many current AGI research paradigms could be used to spawn a slightly different requirements list, but we must start somewhere if we are to make progress as a community. To test the capability of any AGI system, the characteristics of t ...
Mapping the Landscape of Human-Level Artificial
... in October 2009, and from many continuing discussions since then. Some of the ideas also trace back to discussions held during two Evaluation and Metrics for Human Level AI workshopa organized by John Laird and Pat Langley (one in Ann Arbor in late 2008, and one in Tempe in early 2009). Some of the ...
... in October 2009, and from many continuing discussions since then. Some of the ideas also trace back to discussions held during two Evaluation and Metrics for Human Level AI workshopa organized by John Laird and Pat Langley (one in Ann Arbor in late 2008, and one in Tempe in early 2009). Some of the ...
Gate Assignment Display System
... Enumerate / select best Satisficing, rather than optimizing Herbert Simon’s 1958 Chess prediction ...
... Enumerate / select best Satisficing, rather than optimizing Herbert Simon’s 1958 Chess prediction ...
Chapter 11
... Specialized Business Information Systems: Artificial Intelligence, Expert Systems, Virtual Reality, and Other Specialized Systems ...
... Specialized Business Information Systems: Artificial Intelligence, Expert Systems, Virtual Reality, and Other Specialized Systems ...
Artificial Spiking Neural Networks
... – (neuro)biology -> Artificial Intelligence (AI) – Model of how we think the brain processes information ...
... – (neuro)biology -> Artificial Intelligence (AI) – Model of how we think the brain processes information ...
soft computing
... International Soft Computing Conference MENDEL 2012 organizers wish to create a base for an exchange of theoretical and practical knowledge of evolutionary computation and computational intelligence. You are cordially invited to participate in and attend the 18th International Conference on Soft Com ...
... International Soft Computing Conference MENDEL 2012 organizers wish to create a base for an exchange of theoretical and practical knowledge of evolutionary computation and computational intelligence. You are cordially invited to participate in and attend the 18th International Conference on Soft Com ...
MPE(S)- Planning and Scheduling Methodologies
... Planning and Scheduling • Planning and scheduling are the means by which an organization/entity chooses a course of actions, before performing it, to meet some objective. • In computational and AI terms: – planning focuses on selecting and ordering (sequencing?) the actions to reach a goal – schedu ...
... Planning and Scheduling • Planning and scheduling are the means by which an organization/entity chooses a course of actions, before performing it, to meet some objective. • In computational and AI terms: – planning focuses on selecting and ordering (sequencing?) the actions to reach a goal – schedu ...
Mapping the Landscape of Human-Level Artificial General Intelligence
... We present the broad outlines of a roadmap toward humanlevel artificial general intelligence (henceforth, AGI). We begin by discussing AGI in general, adopting a pragmatic goal for its attainment and a necessary foundation of characteristics and requirements. An initial capability landscape will be ...
... We present the broad outlines of a roadmap toward humanlevel artificial general intelligence (henceforth, AGI). We begin by discussing AGI in general, adopting a pragmatic goal for its attainment and a necessary foundation of characteristics and requirements. An initial capability landscape will be ...
Goal-Driven Autonomy in a Navy Strategy Simulation
... of the agent’s current goals, but which are important to its central mission. Our focus is on a new generation of agents that generate and reason about their goals as a primary focus of their reasoning process. This differs from approaches such as online planning, in which an agent generates new pla ...
... of the agent’s current goals, but which are important to its central mission. Our focus is on a new generation of agents that generate and reason about their goals as a primary focus of their reasoning process. This differs from approaches such as online planning, in which an agent generates new pla ...
Douglas Hofstadter - The Minds I Index
... of, I81; evolution of, 141, 468-9; feeling of, programmed into computer, 264, 265, 267; and free will, 339; as gift, 305; interlevel feedback in, 281; levels of, 85, 380--81: mind as home of, 224; and mind-body problem, 391, 392: in objection to thinking by machines, 5961, 63; organic subject of, 23 ...
... of, I81; evolution of, 141, 468-9; feeling of, programmed into computer, 264, 265, 267; and free will, 339; as gift, 305; interlevel feedback in, 281; levels of, 85, 380--81: mind as home of, 224; and mind-body problem, 391, 392: in objection to thinking by machines, 5961, 63; organic subject of, 23 ...
Systems Development: Chapter 10
... Neural Networks Based on brain design Hardware and software Recognize patterns ...
... Neural Networks Based on brain design Hardware and software Recognize patterns ...
DOC - IMIA News
... We invite you to submit original contributions regarding the development of theory, methods, systems, and applications of AI in BioMedicine, including the application of AI approaches in biomedical informatics, healthcare organization and molecular medicine. A specific focus for the AIME 2015 confer ...
... We invite you to submit original contributions regarding the development of theory, methods, systems, and applications of AI in BioMedicine, including the application of AI approaches in biomedical informatics, healthcare organization and molecular medicine. A specific focus for the AIME 2015 confer ...
Lecture 2 - Artificial Intelligence: Foundations of Computational Agents
... goals or complex preferences single-agent or multiple agents knowledge is given or knowledge is learned perfect rationality or bounded rationality ...
... goals or complex preferences single-agent or multiple agents knowledge is given or knowledge is learned perfect rationality or bounded rationality ...
Evolvable hardware
... Causes less pain (cost of painkillers) Faster recovery after surgery (50% more quickly) • Allows remote surgery (over distance) ...
... Causes less pain (cost of painkillers) Faster recovery after surgery (50% more quickly) • Allows remote surgery (over distance) ...
Artificial Intelligence Probes for Interstellar Exploration and
... Operate AI payload: The AI payload which is assumed to be power-intensive can only be operated to its full capacity within the target star system. Operating the AI payload allows for sophisticated data collection, analysis, and decision-making within the star system to devise further actions; f. Fir ...
... Operate AI payload: The AI payload which is assumed to be power-intensive can only be operated to its full capacity within the target star system. Operating the AI payload allows for sophisticated data collection, analysis, and decision-making within the star system to devise further actions; f. Fir ...
Speculations on Human-Android Interaction in the Near
... many human tasks, and many stimulating human-android social interactions may revolve around the interpretation and execution of vision-based tasks. Coordinated activities, such as building a fence, painting a house, or catering a party, might become the province of joint human-android teams. Natural ...
... many human tasks, and many stimulating human-android social interactions may revolve around the interpretation and execution of vision-based tasks. Coordinated activities, such as building a fence, painting a house, or catering a party, might become the province of joint human-android teams. Natural ...
Experiments in UNIX Co
... Our current effort is to consider different methods that would enable us to build similar pattern-recognition into the UNIX command shell (Hirsh & Davison 1997; Davison & Hirsh 1997), although the concept of command prediction is similarly applicable to other user interfaces. The prediction of a use ...
... Our current effort is to consider different methods that would enable us to build similar pattern-recognition into the UNIX command shell (Hirsh & Davison 1997; Davison & Hirsh 1997), although the concept of command prediction is similarly applicable to other user interfaces. The prediction of a use ...
AAAI-17 Sponsor Inv-Cnt
... held February 4-9, 2017 in San Francisco, California, USA, and is sponsored by the Association for the Advancement of Artificial Intelligence (AAAI). San Francisco is a world-class city -- from the iconic Golden Gate bridge to its renowned art galleries, ...
... held February 4-9, 2017 in San Francisco, California, USA, and is sponsored by the Association for the Advancement of Artificial Intelligence (AAAI). San Francisco is a world-class city -- from the iconic Golden Gate bridge to its renowned art galleries, ...
Using Multi-Agent Strategies to Solve a Blocks
... Blocks World is a simple artificial intelligence problem which is used for exercise in planning artificial intelligence solutions. In Blocks World, the goal is to convert all the stacks of blocks from an initial configuration to another configuration of blocks stacked upon one another. They are move ...
... Blocks World is a simple artificial intelligence problem which is used for exercise in planning artificial intelligence solutions. In Blocks World, the goal is to convert all the stacks of blocks from an initial configuration to another configuration of blocks stacked upon one another. They are move ...