Planning Algorithms for Classical Planning Planning Hierarchy of
... Let there be lamps 1, 2, . . . , n which can be turned on. There are no other actions. One can restrict to plans in which lamps are turned on in the ascending order: switching lamp n after lamp m > n needless.1 ...
... Let there be lamps 1, 2, . . . , n which can be turned on. There are no other actions. One can restrict to plans in which lamps are turned on in the ascending order: switching lamp n after lamp m > n needless.1 ...
Conventional Ratio and Artificial Intelligence (AI) Diagnostic methods for DGA in Electrical Transformers
... the use of artificial intelligence techniques to assist the DGA. These investigations include the expert system approach, fuzzy system approach and the artificial neural network (ANN) approach [9]. The basic idea of neural network based fault diagnosis is nonlinear mapping [8]. It is assumed that th ...
... the use of artificial intelligence techniques to assist the DGA. These investigations include the expert system approach, fuzzy system approach and the artificial neural network (ANN) approach [9]. The basic idea of neural network based fault diagnosis is nonlinear mapping [8]. It is assumed that th ...
Intermediate Features Improve Incremental Analogical Mapping Mark Alan Finlayson Patrick Henry Winston
... elements may naturally be more informative and might be profitably used for certain sorts of cognitive tasks, such as object identification or precedent retrieval. We call these descriptive elements intermediate features because the evidence suggests that the most informative features are those of a ...
... elements may naturally be more informative and might be profitably used for certain sorts of cognitive tasks, such as object identification or precedent retrieval. We call these descriptive elements intermediate features because the evidence suggests that the most informative features are those of a ...
CS437
... n One of the most ambitious projects of the era of great expectations was the General Problem Solver (GPS). Allen Newell and Herbert Simon from the Carnegie Mellon University developed a general-purpose program to simulate humansolving methods. n Newell and Simon suggested that a problem to be solv ...
... n One of the most ambitious projects of the era of great expectations was the General Problem Solver (GPS). Allen Newell and Herbert Simon from the Carnegie Mellon University developed a general-purpose program to simulate humansolving methods. n Newell and Simon suggested that a problem to be solv ...
turing test - Department of Intelligent Systems
... Multiple universes, TMs, people? Multiverse Occam’s razor Universe is expanding ever faster 100x too little dark matter Inelligent systems, 7.10.2015 ...
... Multiple universes, TMs, people? Multiverse Occam’s razor Universe is expanding ever faster 100x too little dark matter Inelligent systems, 7.10.2015 ...
Turing Test: 50 Years Later - Center for Research in Language
... methods. However, he explicitly states that ‘it will be assumed that the best strategy is to try to provide answers that would naturally be given by a man’ (Turing, 1950, p. 435). It may be concluded that Turing does not put any limitations on how to model human cognitive processes, but seems to dis ...
... methods. However, he explicitly states that ‘it will be assumed that the best strategy is to try to provide answers that would naturally be given by a man’ (Turing, 1950, p. 435). It may be concluded that Turing does not put any limitations on how to model human cognitive processes, but seems to dis ...
Michael Arbib and Laurent Itti: CS564
... The aspect of real training that corresponds most closely to the supervised learning paradigm is the trainer's role in telling or showing the learner what to do, or explicitly guiding his or her movements. When motor skills are acquired without the help of an explicit teacher or trainer, learning fe ...
... The aspect of real training that corresponds most closely to the supervised learning paradigm is the trainer's role in telling or showing the learner what to do, or explicitly guiding his or her movements. When motor skills are acquired without the help of an explicit teacher or trainer, learning fe ...
Responses to Catastrophic AGI Risk: A Survey
... McAfee 2011), and AGIs, when they are created, should be capable of performing most jobs better than humans (Warwick 1998; Hanson 2008; Hall 2008; Miller 2012). As humanity grows increasingly reliant on AGIs, these AGIs will begin to wield more and more influence and power. Even if AGIs initially fu ...
... McAfee 2011), and AGIs, when they are created, should be capable of performing most jobs better than humans (Warwick 1998; Hanson 2008; Hall 2008; Miller 2012). As humanity grows increasingly reliant on AGIs, these AGIs will begin to wield more and more influence and power. Even if AGIs initially fu ...
Madagascar: Scalable Planning with SAT
... have been obtained by replacing general-purpose SAT-solver heuristics, such as VSIDS, by planning-specific ones which help focusing on actions that are relevant and which adapt to the current state of the SAT solving process (Rintanen 2012b), and with various smaller improvements. Finally, of course ...
... have been obtained by replacing general-purpose SAT-solver heuristics, such as VSIDS, by planning-specific ones which help focusing on actions that are relevant and which adapt to the current state of the SAT solving process (Rintanen 2012b), and with various smaller improvements. Finally, of course ...
Cyber, Intelligence, and Security - Institute for National Security
... within an organization, as well as between organizations. Processes of manufacturing and development in many industries (technology, marketing, biomedicine, and more) have become increasingly complex, making a lone organization’s attempt to handle these processes independently virtually impossible. ...
... within an organization, as well as between organizations. Processes of manufacturing and development in many industries (technology, marketing, biomedicine, and more) have become increasingly complex, making a lone organization’s attempt to handle these processes independently virtually impossible. ...
Practical Artificial Intelligence For Dummies
... Research Project on Artificial Intelligence” (1955) ...
... Research Project on Artificial Intelligence” (1955) ...
The errors, insights and lessons of famous AI predictions
... have isolated the task characteristics in which experts tend to have good judgement – and the results of that literature strongly imply that AI predictions are likely to be very unreliable, at least as far as timeline predictions (‘date until AI’) are concerned. That theoretical result is born out i ...
... have isolated the task characteristics in which experts tend to have good judgement – and the results of that literature strongly imply that AI predictions are likely to be very unreliable, at least as far as timeline predictions (‘date until AI’) are concerned. That theoretical result is born out i ...
The Behavior-Oriented Design of Modular Agent Intelligence
... 2. reactive planning, the ordering of expressed actions via carefully specified program structures, and 3. (optionally) deliberative planning, which may inform or create new reactive plans, or, in principle, even learn new behaviors. In this section I will discuss these systems and their history in ...
... 2. reactive planning, the ordering of expressed actions via carefully specified program structures, and 3. (optionally) deliberative planning, which may inform or create new reactive plans, or, in principle, even learn new behaviors. In this section I will discuss these systems and their history in ...
Artificial Intelligence Intelligent Autonomous Agents 1
... An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful Performance measure: An objective criterion for success of an agent's behavior E.g., performance measure o ...
... An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful Performance measure: An objective criterion for success of an agent's behavior E.g., performance measure o ...
Jurek Gryz The frame problem in artificial intelligence and
... any one time as many as 30 people were simultaneously entering data. They analyzed newspaper articles, encyclopedia entries, advertisements, etc. sentence by sentence. The idea was not to create yet another encyclopedia, but to encode the knowledge anyone needs to have before he can understand an en ...
... any one time as many as 30 people were simultaneously entering data. They analyzed newspaper articles, encyclopedia entries, advertisements, etc. sentence by sentence. The idea was not to create yet another encyclopedia, but to encode the knowledge anyone needs to have before he can understand an en ...
The Model Checking Integrated Planning System (MIPS)
... This result is complemented by what we call fact space exploration: Ignoring negative (delete) effects of operators, we exhaustively enumerate all propositions that can be satisfied by any legal sequence of actions applied to the initial state, thus ruling out illegal propositions such as (IN losang ...
... This result is complemented by what we call fact space exploration: Ignoring negative (delete) effects of operators, we exhaustively enumerate all propositions that can be satisfied by any legal sequence of actions applied to the initial state, thus ruling out illegal propositions such as (IN losang ...
If It Works, It`s Not AI: A Commercial Look at
... positive methods of introducing new technologies into the marketplace. However, my choice of this timeperiod and industry was due to the many failures as compared to successes, to the point where participants commented that if a program was successful, they would no longer even call it artificial in ...
... positive methods of introducing new technologies into the marketplace. However, my choice of this timeperiod and industry was due to the many failures as compared to successes, to the point where participants commented that if a program was successful, they would no longer even call it artificial in ...
Natural intelligence in design*
... Protocol studies. This more formal method has usually been applied to artificial projects, because of the stringent requirements of recording the protocols—the ‘thinking-aloud’ and associated actions of subjects asked to perform a set design task. Both inexperienced (often student) designers and exp ...
... Protocol studies. This more formal method has usually been applied to artificial projects, because of the stringent requirements of recording the protocols—the ‘thinking-aloud’ and associated actions of subjects asked to perform a set design task. Both inexperienced (often student) designers and exp ...
Reinforcement Learning and the Reward Engineering Principle
... them a common framework in which to communicate techniques and results, and focuses work on the fruitful and interesting parts of the problem while drawing attention away from less important parts. We argue that modern AI research will need to address reward design if it is to meaningfully engage th ...
... them a common framework in which to communicate techniques and results, and focuses work on the fruitful and interesting parts of the problem while drawing attention away from less important parts. We argue that modern AI research will need to address reward design if it is to meaningfully engage th ...
CS 561a: Introduction to Artificial Intelligence
... Provides the most general view of AI because it includes: ...
... Provides the most general view of AI because it includes: ...
hierarchical intelligent simulation
... mathematically to build theories and formalisms, can lead to understand the results, so to manage them truly. The hierarchical approach should concentrate on knowledge hierarchies, to enable metaknowledge simulation, for the system's adaptability, but also for looking for the way to simulate conscio ...
... mathematically to build theories and formalisms, can lead to understand the results, so to manage them truly. The hierarchical approach should concentrate on knowledge hierarchies, to enable metaknowledge simulation, for the system's adaptability, but also for looking for the way to simulate conscio ...
Robots as moral agents, in Machine Medical Ethics , eds. Mattijs
... (or a group of professionals) in the best interests of a patient and were then communicated to the patient. This paternalism was based on a knowledge gap between the medical professional and the patient and between the professional and the public, as well as on the relative clarity of medical decisi ...
... (or a group of professionals) in the best interests of a patient and were then communicated to the patient. This paternalism was based on a knowledge gap between the medical professional and the patient and between the professional and the public, as well as on the relative clarity of medical decisi ...
What is AI?
... • Turing (1950) "Computing machinery and intelligence": • Operational test for intelligent behavior: the Imitation Game ...
... • Turing (1950) "Computing machinery and intelligence": • Operational test for intelligent behavior: the Imitation Game ...