Risk Analysis for the Artificial General Intelligence Research and
... GCR. One specific AI type of great concern is artificial superintelligence (ASI), in which the AI has intelligence vastly exceeding humanity’s across a broad range of domains (Bostrom 2014). ASI could potentially either solve a great many of society’s problems or cause catastrophes such as human ext ...
... GCR. One specific AI type of great concern is artificial superintelligence (ASI), in which the AI has intelligence vastly exceeding humanity’s across a broad range of domains (Bostrom 2014). ASI could potentially either solve a great many of society’s problems or cause catastrophes such as human ext ...
Organisational Intelligence and Distributed AI
... These subsystems constitute organisations as goal-driven socio-technical systems that acquire and process information. Thus, enterprises are organisations where humans collaborate to produce commodities and services. It is interesting that the socio-technical model provides an "interface" to the tec ...
... These subsystems constitute organisations as goal-driven socio-technical systems that acquire and process information. Thus, enterprises are organisations where humans collaborate to produce commodities and services. It is interesting that the socio-technical model provides an "interface" to the tec ...
AI Chapter 3: Intelligent Agents - Foundations of Artificial Intelligence
... The action a is optimal if it maximizes the expected value of M , given the evidence provided by P and K. The agent is rational if it always chooses an optimal a. → If the vacuum cleaner bumps into the Hamster, then this can be rational in case → Note: If observation actions are required, they are e ...
... The action a is optimal if it maximizes the expected value of M , given the evidence provided by P and K. The agent is rational if it always chooses an optimal a. → If the vacuum cleaner bumps into the Hamster, then this can be rational in case → Note: If observation actions are required, they are e ...
Natural intelligence in design*
... more concrete types of investigation, and from the more close to the more distant study of actual design practice. The studies have ranged through inexperienced or student designers, to experienced and expert designers, and even on to forms of non-human, artificial intelligence. All of these methods ...
... more concrete types of investigation, and from the more close to the more distant study of actual design practice. The studies have ranged through inexperienced or student designers, to experienced and expert designers, and even on to forms of non-human, artificial intelligence. All of these methods ...
Background to Qualitative Decision Theory
... context of actions that can change the membership of the group whose welfare is at stake). The issues that arise in automated decision making recall some of the traditional philosophical questions but locate the debate in a new setting by focusing on the need for efficient reasoning in the very comp ...
... context of actions that can change the membership of the group whose welfare is at stake). The issues that arise in automated decision making recall some of the traditional philosophical questions but locate the debate in a new setting by focusing on the need for efficient reasoning in the very comp ...
Supervised and unsupervised learning.
... strategy q : X → D which would be optimal with respect to certain criterion. Bayesian decision theory requires complete statistical information pXK ( x, k ) of the object of interest to be known, and a suitable penalty function W : K × D → R must be provided. Non-Bayesian decision theory studies tas ...
... strategy q : X → D which would be optimal with respect to certain criterion. Bayesian decision theory requires complete statistical information pXK ( x, k ) of the object of interest to be known, and a suitable penalty function W : K × D → R must be provided. Non-Bayesian decision theory studies tas ...
Goal Recognition Design - Association for the Advancement of
... fi is a copy of F for agent i, split is a fluent representing the no-cost action DoSplit has occurred, and done0 is a fluent indicating the no-cost Done0 has occurred. The initial state is common to both agents and does not include the split and done0 fluents. Until a DoSplit action is performed, th ...
... fi is a copy of F for agent i, split is a fluent representing the no-cost action DoSplit has occurred, and done0 is a fluent indicating the no-cost Done0 has occurred. The initial state is common to both agents and does not include the split and done0 fluents. Until a DoSplit action is performed, th ...
The Comparison between Forward and Backward Chaining
... In the academic field, some students need the best advice in order to improve their situation, and this advice must be provided by the academic management. The academic management should consider many important factors when providing such advise and some of these factors are the mode of study (part- ...
... In the academic field, some students need the best advice in order to improve their situation, and this advice must be provided by the academic management. The academic management should consider many important factors when providing such advise and some of these factors are the mode of study (part- ...
i think, therefore i invent: creative computers and the future of patent
... could and should be patentable. 7 It argues that computers can be inventors because although AI would not be motivated to invent by the prospect of a patent, computer inventorship would incentivize the development of creative machines. 8 In turn, this would lead to new scientific advances. Beyond in ...
... could and should be patentable. 7 It argues that computers can be inventors because although AI would not be motivated to invent by the prospect of a patent, computer inventorship would incentivize the development of creative machines. 8 In turn, this would lead to new scientific advances. Beyond in ...
4 on 1
... The action a is optimal if it maximizes the expected value of M , given the evidence provided by P and K. The agent is rational if it always chooses an optimal a. → If the vacuum cleaner bumps into the Hamster, then this can be rational in case the percept does not allow to recognize the hamster. ...
... The action a is optimal if it maximizes the expected value of M , given the evidence provided by P and K. The agent is rational if it always chooses an optimal a. → If the vacuum cleaner bumps into the Hamster, then this can be rational in case the percept does not allow to recognize the hamster. ...
Role of Expert Systems in Construction Roboticsl
... Knowledge based expert systems are designed to overcome the shortcomings of algorithmic computer applications. They may be based on the same type of premise-action rules as algorithmic programs, but the sequence of selecting and applying the rules is not specified a priori. The rules are treated as ...
... Knowledge based expert systems are designed to overcome the shortcomings of algorithmic computer applications. They may be based on the same type of premise-action rules as algorithmic programs, but the sequence of selecting and applying the rules is not specified a priori. The rules are treated as ...
View PDF - Boston College Law Review
... could and should be patentable. 7 It argues that computers can be inventors because although AI would not be motivated to invent by the prospect of a patent, computer inventorship would incentivize the development of creative machines. 8 In turn, this would lead to new scientific advances. Beyond in ...
... could and should be patentable. 7 It argues that computers can be inventors because although AI would not be motivated to invent by the prospect of a patent, computer inventorship would incentivize the development of creative machines. 8 In turn, this would lead to new scientific advances. Beyond in ...
Unit 1 : Computer Systems
... 3. Explain the need for a different approach to programming which could represent knowledge 4. Describe simply the development of game playing programs from simple early examples to contemporary complex examples exhibiting intelligence 5. Describe simply the development of language processing from E ...
... 3. Explain the need for a different approach to programming which could represent knowledge 4. Describe simply the development of game playing programs from simple early examples to contemporary complex examples exhibiting intelligence 5. Describe simply the development of language processing from E ...
ppt
... •A static evaluator gets to see the resulting position(s) of playing out any immediate threat(s) • Minimaxing one or more levels of game subtree can and frequently does give a result different to static evaluation of the node at the root of the subtree. • That is of course why search and minimaxing ...
... •A static evaluator gets to see the resulting position(s) of playing out any immediate threat(s) • Minimaxing one or more levels of game subtree can and frequently does give a result different to static evaluation of the node at the root of the subtree. • That is of course why search and minimaxing ...
Advances in conversational case-based reasoning
... Kquestion, answerL pairs. A case’s problem description is typically represented in a similar way, although other approaches have been investigated. In taxonomic CCBR, for example, relevant domain features (e.g., test results) are arranged in feature taxonomies in which levels of abstraction are expl ...
... Kquestion, answerL pairs. A case’s problem description is typically represented in a similar way, although other approaches have been investigated. In taxonomic CCBR, for example, relevant domain features (e.g., test results) are arranged in feature taxonomies in which levels of abstraction are expl ...
md hassan - Computer and Information Science
... named for their use of Multiple ADAptive LINear Elements. MADALINE was the first neural network to be applied to a real world problem [4]. Casimir Kulikowski: Board of Governors Professor of Computer Science Department of Computer Science Rutgers, The State University of New Jersey. Dr. Kulikowski's ...
... named for their use of Multiple ADAptive LINear Elements. MADALINE was the first neural network to be applied to a real world problem [4]. Casimir Kulikowski: Board of Governors Professor of Computer Science Department of Computer Science Rutgers, The State University of New Jersey. Dr. Kulikowski's ...
Contextual Reasoning - Homepages of UvA/FNWI staff
... CanF ly(x)). From this we may conclude that T weety can fly. Now if we are told that T weety is a penguin, and thus forms an exception to our rule, we naturally retract our conclusion. This form of reasoning is non-monotonic in the sense that new information reduces the knowledge we obtained so far ...
... CanF ly(x)). From this we may conclude that T weety can fly. Now if we are told that T weety is a penguin, and thus forms an exception to our rule, we naturally retract our conclusion. This form of reasoning is non-monotonic in the sense that new information reduces the knowledge we obtained so far ...
AutoTutor: A tutor with dialogue in natural language
... degree of mutual understanding and, therefore, will run a higher risk of failing to meet the other’s expectations. It is noteworthy that human tutors are not able to monitor the knowledge of students at a fine-grained level, because much of what students express is vague, underspecified, ambiguous, ...
... degree of mutual understanding and, therefore, will run a higher risk of failing to meet the other’s expectations. It is noteworthy that human tutors are not able to monitor the knowledge of students at a fine-grained level, because much of what students express is vague, underspecified, ambiguous, ...
The Intelligent Conversational Humanoid Robot
... study of the mind and the way it works. For the purposes of cognitive science, artificial intelligence is defined as “ a codification of knowledge will finally explain intelligence” [2]. However, when it comes to engineering, the purpose of artificial intelligence is to use knowledge to solve real-w ...
... study of the mind and the way it works. For the purposes of cognitive science, artificial intelligence is defined as “ a codification of knowledge will finally explain intelligence” [2]. However, when it comes to engineering, the purpose of artificial intelligence is to use knowledge to solve real-w ...
Towards Perceiving Robots as Humans: Three Handshake Models
... In the early eighties Axelrod and Hamilton examined different strategies for optimizing success in the Prisoner's Dilemma game [47]. The proposed strategies were competed against each other in a tournament that revealed that the best strategy is when the players imitate each other’s actions from the ...
... In the early eighties Axelrod and Hamilton examined different strategies for optimizing success in the Prisoner's Dilemma game [47]. The proposed strategies were competed against each other in a tournament that revealed that the best strategy is when the players imitate each other’s actions from the ...
April 2005 - Interactive Intelligence Group
... Editor-in-chief The AI community flourishes as never before. This is evidenced by several factors. Just look at the number of Calls for Papers in this issue. Another witness is the start of a new university, in Luxembourg, including an AI department (see p. 28 of this issue). We hope that this will ...
... Editor-in-chief The AI community flourishes as never before. This is evidenced by several factors. Just look at the number of Calls for Papers in this issue. Another witness is the start of a new university, in Luxembourg, including an AI department (see p. 28 of this issue). We hope that this will ...
How We`re Predicting AI—or Failing To
... universal intelligence: no intelligence that performs better than average in every circumstance. Initially this seems to rule out AI entirely; but when one analyzes what this means empirically, one realizes there is far less to it. It does not forbid an algorithm from performing better than any huma ...
... universal intelligence: no intelligence that performs better than average in every circumstance. Initially this seems to rule out AI entirely; but when one analyzes what this means empirically, one realizes there is far less to it. It does not forbid an algorithm from performing better than any huma ...
Higher Course Specification
... Explanation of the effects of hardware developments (including faster processors, more memory, and increasing backing store capacity) on the field of AI Description of the implementation and advantages of parallel processing Description of the practical problems associated with AI despite advances i ...
... Explanation of the effects of hardware developments (including faster processors, more memory, and increasing backing store capacity) on the field of AI Description of the implementation and advantages of parallel processing Description of the practical problems associated with AI despite advances i ...
Investigating Biological Assumptions through Radical
... systems dynamics. Its devotees are practicing fact-free science. A fact for them is, at best, the output of a computer simulation: it is rarely a fact about the world. [70]” Dawkins has similarly discussed the difficulty involved in creating biologically accurate simulations, although he concludes w ...
... systems dynamics. Its devotees are practicing fact-free science. A fact for them is, at best, the output of a computer simulation: it is rarely a fact about the world. [70]” Dawkins has similarly discussed the difficulty involved in creating biologically accurate simulations, although he concludes w ...
Lecture 1 Course Introduction Artificial Intelligence
... Every art and every inquiry, and similarly every action and pursuit, is thought to aim at some good However, humans do not always act rationally 1) Approach more amenable to scientific development than approaches based on human behaviour or human thought. 2) Leads to study correct inference and gene ...
... Every art and every inquiry, and similarly every action and pursuit, is thought to aim at some good However, humans do not always act rationally 1) Approach more amenable to scientific development than approaches based on human behaviour or human thought. 2) Leads to study correct inference and gene ...