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Springer CC Volume proposal
Springer CC Volume proposal

... book ("The author presents chapters on ...") and notes about the treatment; and (iii) readership ("This book is useful for ..."). Computational Creativity (CC) is an emerging field of research within AI that focuses on the capacity of machines to both generate and evaluate novel outputs that would, ...
Risks and Mitigation Strategies for Oracle AI
Risks and Mitigation Strategies for Oracle AI

... amounts of information stored on expanding hard drives (which follow their own Moore‟s Law (Walter, 2005)). So an AI would be able to think through every response thoroughly, carefully researching all relevant data, without any humansnoticeable slow-down. Software can not only be run faster with mor ...
Conventional Ratio and Artificial Intelligence (AI) Diagnostic methods for DGA in Electrical Transformers
Conventional Ratio and Artificial Intelligence (AI) Diagnostic methods for DGA in Electrical Transformers

... is chosen as an example. The PPM of C2H2 in all cases equal zero. Table 8- Diagnostic data history for (220/66 Kv) transformer Some of the dissolved gases(ppm) ...
Jumping NLP Curves: A Review of Natural Language Processing
Jumping NLP Curves: A Review of Natural Language Processing

... effective human-machine communication). Traditional research disciplines do not have the tools to completely address the problem of how language comprehension and production work. Even if you combine all the approaches, a comprehensive theory would be too complex to be studied using traditional meth ...
The Fourth International Workshop on Nonmonotonic Reasoning
The Fourth International Workshop on Nonmonotonic Reasoning

... addition, he noted that the importance of a number of formal ideas, including groundedness, causality, and specificity, have been recognized. Vladimir Lifschitz (University of Texas at Austin) also observed that nonmonotonic reasoning has had a major impact on logic programming and that the favor wa ...
Formalizing Taxonomy: A Status Report
Formalizing Taxonomy: A Status Report

... The most likely fix here is to change the congruence relation between the top two nodes to instead state that Benson's R. hydrocharoides includes Kartesz's Stanford Research Institute Artificial Intelligence Center Seminar ...
Rise of the humans
Rise of the humans

... Fourth Industrial Revolution refers to the transformation in the way that humans and machines connect and relate. In the view of Klaus Schwab, founder of the World Economic Forum, the first three industrial revolutions were underpinned by steam engines, mass production and electricity, and informati ...
Ten Challenges Redux: Recent Progress in Propositional
Ten Challenges Redux: Recent Progress in Propositional

... exact scaling properties of survey propagation — and WalksSAT for that matter — are still unknown. In conclusion, even though we have seen many exciting new results in terms of solving hard random instances, the gap between our ability to handle satisfiable and unsatisfiable instances has actually g ...
Practical First-order Argumentation
Practical First-order Argumentation

... they do not support arguments for/against first-order formulae. Yet in many professional domains, it is apparent that there is a need to support first-order argumentation. As an example, consider a senior clinician in a hospital who may need to consider the pros and cons of a new drug regime in orde ...
Natural intelligence in design*
Natural intelligence in design*

... created by children as well as by adults, suggests that everyone is capable of designing. But we also know that some people are better designers than others. Ever since the emergence of designers as separate professions, it appears that some people have a design ability that is more highly-develope ...
Issues in Temporal and Causal Inference
Issues in Temporal and Causal Inference

... has some similarity with “step-logic” [5], though in NARS a time-stamp is not explicitly expressed as part of a statement. Unlike some cognitive architectures [17, 7], NARS does not attempt to simulate the response time of the human brain. The system uses its (subjective) working cycle as the unit o ...
Artificial Intelligence: The new frontier for hedge funds
Artificial Intelligence: The new frontier for hedge funds

... Quantitative hedge fund strategies have received considerable interest from investors over the last decade. The application of growing computing power and the availability of big data has enabled these systematic trading models to capitalise on market inefficiencies that were otherwise difficult to ...
Practical Reasoning: An Opinionated Survey.
Practical Reasoning: An Opinionated Survey.

... a deontic logic, and to see how the formalization might be valid. At the same time, it is more difficult to imagine that the premisses are true. In this example, for instance, there is surely more than one way to heat the patient. Von Wright proposes modal logic, and in particular deontic logic, as ...
CSC 480: Artificial Intelligence
CSC 480: Artificial Intelligence

... sometimes knowledge can be acquired directly from the environment ...
21. Reinforcement Learning (2001)
21. Reinforcement Learning (2001)

... In supervised learning, training information is in the form of desired, or 'target', responses. 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 ...
word office version - European Parliament
word office version - European Parliament

... than 20 % of Europeans will be 65 or older, with a particularly rapid increase in numbers of people who are in their 80s or older, which will lead to a fundamentally different balance between generations within our societies, and whereas it is in the interest of society that older people remain heal ...
Neural Networks
Neural Networks

... Number of Features training time is directly related to the number of input features as the number of features increases, the network becomes more likely to converge to an inferior solution eg. first use statistical correlation or decision trees to determine which features are likely to be more impo ...
pdf file
pdf file

... Moreover, Agent Specific Task has the following two subcomponents: Process Analysis assesses the current state of the human, and Plan Determination determines whether action (intervention) has to be undertaken, and, if so, which ones. Finally, as in the model GAM, World Interaction Management and Ag ...
Humanoid Robots That Behave, Speak, and Think Like Humans: A
Humanoid Robots That Behave, Speak, and Think Like Humans: A

... 1.1. But First, a Note about Human-Like Levels of AI All programmable digital computers do not have a “self identity” as a human does, which could absorb and convert all data into subjective knowledge, knowledge absorbed relative to the “self” of the machine. Therefore, the computers do not have hum ...
Blackwell Guide to the Philosophy of Computing and
Blackwell Guide to the Philosophy of Computing and

... boundary conditions and its micro-level dynamical process but only through the process of iterating and aggregating all the micro-level effects (Bedau 1997a). In this case, the micro-level phenomena constitute and generate the macro-level phenomena, but they are autonomous in that the only way to re ...
Call for Participation - Association for the Advancement of Artificial
Call for Participation - Association for the Advancement of Artificial

... in a diverse, often ill-structured environment and what, if any, organizational constraints must exist to be able to successfully manage knowledge. Issues involved with adding context and other meta-data along with using ontologies to promote the sharing of relevant information are important topics ...
Cooperative Mobile Robotics
Cooperative Mobile Robotics

... recently proposed by [Kit94] would lie within our present scope. ...
THE ROLES AND GOALS OF INFORMATION TECHNOLOGY
THE ROLES AND GOALS OF INFORMATION TECHNOLOGY

... The next three sections discuss three types of decision support that aid in the analysis of information: Decision support systems, collaboration systems, and geographic information systems. These sections include key terms such as model management, data management, collaboration system, and geograph ...
APPLICABILITY OF OPERATIONS RESEARCH AND ARTIFICIAL
APPLICABILITY OF OPERATIONS RESEARCH AND ARTIFICIAL

... widely used and visible extension of the field. To gain a more thorough understanding of OR, available OR techniques, as well as, details on coding ones own technique, please consult (Winston 1994). An Artificial Intelligent (AI) Perspective: For many practical problems encountered, the only way to ...
View - Association for Computational Creativity
View - Association for Computational Creativity

... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
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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.""↑ ↑ ↑ ↑ ↑ ↑
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