Tarek R. Besold, Kai
... discovery, idea generation, and their overall relation and role to general intelligence as well as researchers focusing on application areas, like computer-aided innovation. Although the different approaches to questions concerning the aforementioned aspects do share significant overlap in underlyin ...
... discovery, idea generation, and their overall relation and role to general intelligence as well as researchers focusing on application areas, like computer-aided innovation. Although the different approaches to questions concerning the aforementioned aspects do share significant overlap in underlyin ...
Persian/Arabic Baffletext CAPTCHA
... Langford from Carnegie Mellon University, called it as CAPTCHA™ (Completely Automated Public Turing test to tell Computers and Human Apart) [Blum, 00]. The main focus of this method is, therefore, on questions that the human user can easily answer but which the present computer programs are hardly l ...
... Langford from Carnegie Mellon University, called it as CAPTCHA™ (Completely Automated Public Turing test to tell Computers and Human Apart) [Blum, 00]. The main focus of this method is, therefore, on questions that the human user can easily answer but which the present computer programs are hardly l ...
Distributed multi-agent probabilistic reasoning with Bayesian networks
... Such systems pose special issues that must be addressed. A multi-agent view is thus required where each agent is an autonomous intelligent subsystem. Each agent holds its own partial domain knowledge, accesses some information source, and consumes some computational resource. Each agent communicate ...
... Such systems pose special issues that must be addressed. A multi-agent view is thus required where each agent is an autonomous intelligent subsystem. Each agent holds its own partial domain knowledge, accesses some information source, and consumes some computational resource. Each agent communicate ...
INTRODUCTION TO Al AND PRODUCTION SYSTEMS 9
... Artificial Intelligence (AI) is a branch of Science which deals with helping machines finding solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or l ...
... Artificial Intelligence (AI) is a branch of Science which deals with helping machines finding solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or l ...
Artificial Intelligence
... • UE4 simplifies parallel nodes (typically confusing) – Simple parallel for concurrent tasks – Services for periodic tasks https://docs.unrealengine.com/latest/INT/Engine/AI/BehaviorTrees/HowUE4BehaviorTreesDiffer/index.html ...
... • UE4 simplifies parallel nodes (typically confusing) – Simple parallel for concurrent tasks – Services for periodic tasks https://docs.unrealengine.com/latest/INT/Engine/AI/BehaviorTrees/HowUE4BehaviorTreesDiffer/index.html ...
How We`re Predicting AI—or Failing To
... the prediction, and allows more possible futures to exist, consistently with that prediction. For instance, Bruce Edmonds (Edmonds 2008), building on the “No Free Lunch” results (Wolpert and Macready 1995), demonstrates that there is no such thing as a universal intelligence: no intelligence that pe ...
... the prediction, and allows more possible futures to exist, consistently with that prediction. For instance, Bruce Edmonds (Edmonds 2008), building on the “No Free Lunch” results (Wolpert and Macready 1995), demonstrates that there is no such thing as a universal intelligence: no intelligence that pe ...
Lecture 11: Neural Nets
... simultaneously. This is quite unlike a conventional computer, where the programming steps are performed one after the other. ...
... simultaneously. This is quite unlike a conventional computer, where the programming steps are performed one after the other. ...
Three Alternative Scenarios of Work/Technology 2050 - PUC-SP
... civilization. The rest are self-employed in flexi-time as free-lancers who find markets via their personal avatars browsing CyberNow (Internet 8.0). Some of these participate in the sharing economy, and others are cyber explorers creating new kinds of work each day. As repetitive work was replaced b ...
... civilization. The rest are self-employed in flexi-time as free-lancers who find markets via their personal avatars browsing CyberNow (Internet 8.0). Some of these participate in the sharing economy, and others are cyber explorers creating new kinds of work each day. As repetitive work was replaced b ...
Program booklet
... conference banquet will bring us to the Chinese National Convention Center, a spectacular building adjacent to the famous Bird’s Nest. ...
... conference banquet will bring us to the Chinese National Convention Center, a spectacular building adjacent to the famous Bird’s Nest. ...
artificial intelligence and the future of defense
... inflation in this cell – the financial implications of focusing primarily on this particular type of defense AI may very well prove to be exorbitant. Especially US (and/or UK) investments in defense AI, competing with Chinese (and possibly Russian) efforts, can be expected to be both substantial and ...
... inflation in this cell – the financial implications of focusing primarily on this particular type of defense AI may very well prove to be exorbitant. Especially US (and/or UK) investments in defense AI, competing with Chinese (and possibly Russian) efforts, can be expected to be both substantial and ...
Toward AI for Human Beings: Human Centric AI Zinrai
... Let us take a look at the flow of data in Figure 1. First, the data is captured with sensors from the real world at the top of the figure. AI then performs sensing and recognition using the captured data. Next, the sensed and recognized data is processed into knowledge that computers can understand. ...
... Let us take a look at the flow of data in Figure 1. First, the data is captured with sensors from the real world at the top of the figure. AI then performs sensing and recognition using the captured data. Next, the sensed and recognized data is processed into knowledge that computers can understand. ...
Investigate the Effect of Expert Systems Application on Management
... intelligence in 1956 and defined it as "science and engineering of making intelligent machines”. If we want to determine the area of artificial intelligence we should say: is the study of how we can force computers do the things that currently human are doing it better Artificial intelligence is a m ...
... intelligence in 1956 and defined it as "science and engineering of making intelligent machines”. If we want to determine the area of artificial intelligence we should say: is the study of how we can force computers do the things that currently human are doing it better Artificial intelligence is a m ...
Mundane
... sufficient ambiguity in Weiser’s texts for it to be unclear whether his ultimate goal was a technological revolution or a technology-led social revolution, or whether he believed that the former leads to the latter in some inevitable way. This slippage, from ‘the workplace’ to ‘the world’ and from t ...
... sufficient ambiguity in Weiser’s texts for it to be unclear whether his ultimate goal was a technological revolution or a technology-led social revolution, or whether he believed that the former leads to the latter in some inevitable way. This slippage, from ‘the workplace’ to ‘the world’ and from t ...
Semantic Networks: Visualizations of Knowledge
... However, there is something missing here. The visual aspect of the semantic network idea is clearly important. As Sowa says "network notations are easy for people to read" [1] and this pragmatic aspect of the formalism cannot be ignored. According to Sowa, "graphs ... can keep all the information ab ...
... However, there is something missing here. The visual aspect of the semantic network idea is clearly important. As Sowa says "network notations are easy for people to read" [1] and this pragmatic aspect of the formalism cannot be ignored. According to Sowa, "graphs ... can keep all the information ab ...
Expert Systems
... from training, reading and experience. It may consist of Facts, theories, rules, procedures. Guidelines (heuristics) based on intuition Strategies or approaches Meta knowledge Most organizations recognize the value of expertise but have difficulty in controlling or quantifying it. All indivi ...
... from training, reading and experience. It may consist of Facts, theories, rules, procedures. Guidelines (heuristics) based on intuition Strategies or approaches Meta knowledge Most organizations recognize the value of expertise but have difficulty in controlling or quantifying it. All indivi ...
PDF
... relaxations, and therefore their solutions are better approximations of the IP’s solution. Gomory (1958, 1963) pioneered this approach, showing how to systematically generate “cuts” that lead to an integer solution. “Cuts” or “cutting planes” are redundant constraints, in the sense that they do not ...
... relaxations, and therefore their solutions are better approximations of the IP’s solution. Gomory (1958, 1963) pioneered this approach, showing how to systematically generate “cuts” that lead to an integer solution. “Cuts” or “cutting planes” are redundant constraints, in the sense that they do not ...
View CV - Learning Research and Development Center (LRDC)
... Dissertation: “Modeling Legal Argument: Reasoning with Cases and Hypotheticals”, describing my design and development of Hypo, a program that performs case-based reasoning and models legal reasoning in the domain of trade secrets law. Hypo employs a Case Knowledge Base of actual legal cases to make ...
... Dissertation: “Modeling Legal Argument: Reasoning with Cases and Hypotheticals”, describing my design and development of Hypo, a program that performs case-based reasoning and models legal reasoning in the domain of trade secrets law. Hypo employs a Case Knowledge Base of actual legal cases to make ...
The Constructive Role of Language in the Formation of Agentive
... between machine intelligence and the environment. In AI, language can occupy a middle position between the sensation of objects and the perception of the environment because language is a mediatory tool for attributing a functional role to the sense data. When we study language in AI, we are not stu ...
... between machine intelligence and the environment. In AI, language can occupy a middle position between the sensation of objects and the perception of the environment because language is a mediatory tool for attributing a functional role to the sense data. When we study language in AI, we are not stu ...
Contextual Reasoning - Homepages of UvA/FNWI staff
... by configurations of the connections in a network of interconnected nodes. Networks of this kind are often called neural networks, as they are intended ...
... by configurations of the connections in a network of interconnected nodes. Networks of this kind are often called neural networks, as they are intended ...
How to be creative
... When we gave our agent a dictionary, a goal, grammar knowledge and common sense, we effectively restricted him: ...
... When we gave our agent a dictionary, a goal, grammar knowledge and common sense, we effectively restricted him: ...
Chemical Analogies: Two Kinds of Explanation
... Prime Minister in the last British election?" Such whyquestions are a request for causal explanations: the questioner wants to know what events or situation produced her victory. Sometimes explanations that answer such questions are analogical: Thatcher's victory was like Bush's victory in the 1988 ...
... Prime Minister in the last British election?" Such whyquestions are a request for causal explanations: the questioner wants to know what events or situation produced her victory. Sometimes explanations that answer such questions are analogical: Thatcher's victory was like Bush's victory in the 1988 ...
Web Intelligence (WI) - Web Intelligence Consortium
... • Connectivity and diversity of Web documents. • A heterogeneous collection of structured, unstructured, semi-structured, inter-related, and distributed Web documents consisting of text, images and sounds. • Theories, methodologies and technologies of Web based information systems. • Many different ...
... • Connectivity and diversity of Web documents. • A heterogeneous collection of structured, unstructured, semi-structured, inter-related, and distributed Web documents consisting of text, images and sounds. • Theories, methodologies and technologies of Web based information systems. • Many different ...
Legal Expert System - CIS @ Temple University
... conflicting statement exist elsewhere in the program, causing the uncertainty that we do not want in a legal system. Non-monotonic systems are closer to the human mind in this regard in that they can change their “views” as they gather more information. (http://webjcli.ncl.ac.uk/articles2/aiken2.htm ...
... conflicting statement exist elsewhere in the program, causing the uncertainty that we do not want in a legal system. Non-monotonic systems are closer to the human mind in this regard in that they can change their “views” as they gather more information. (http://webjcli.ncl.ac.uk/articles2/aiken2.htm ...
PDF - 1.4 MB - Massachusetts Institute of Technology
... deduction" rules we saw earlier). Backchaining is relatively simple to understand given that you've seen how resolution works. We start with a literal to "prove", which we call C. We will also use Green's trick (as in Chapter 6.3) to keep track of any variable bindings in C during the proof. We will ...
... deduction" rules we saw earlier). Backchaining is relatively simple to understand given that you've seen how resolution works. We start with a literal to "prove", which we call C. We will also use Green's trick (as in Chapter 6.3) to keep track of any variable bindings in C during the proof. We will ...
DEPARTMENT OF CYBERNETICS AND ARTIFICIAL INTELLIGENCE
... elements, whose interconnections are realized by communication networks using the principles and methods of artificial intelligence. The project main focus is on the control algorithms as well as on the behavioral algorithms of the networked control elements with so called Plug and Play network func ...
... elements, whose interconnections are realized by communication networks using the principles and methods of artificial intelligence. The project main focus is on the control algorithms as well as on the behavioral algorithms of the networked control elements with so called Plug and Play network func ...
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.""↑ ↑ ↑ ↑ ↑ ↑