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Curriculum Vitae: Daniel P. Miranker - UT Direct
Curriculum Vitae: Daniel P. Miranker - UT Direct

... Full Professor of Computer Science, The University of Texas at Austin. Courtesy appointments in the Department of Electrical and Computer Engineering and the Institute of Cell and Molecular Biology Associate Professor of Computer Science, The University of Texas at Austin. Assistant Professor of Com ...
The Project ENTs: Towards Modeling Human
The Project ENTs: Towards Modeling Human

... psychologists etc.) also create h-agents from time to time. Some pragmatic reasons, why these people find it difficult to develop h-agents, follow: a) Non-computer researchers usually cannot code in C++ or Java, therefore they are not able to build new h-agent or their environments from scratch. b) ...
- CRISP Repository
- CRISP Repository

... forms and syntax refer to. Well, in the meantime researchers developed semantic Web techniques and machines that can reason through analogy and association, which is not far any more from what people do at a functional level because people also do not know eventually what the words stand for in the ...
Editorial: Alan Turing and Artificial Intelligence
Editorial: Alan Turing and Artificial Intelligence

... the TT has sent AI down a blind alley, at least as far as human intelligence is concerned. Indeed, they argue this not merely for the ordinary TT, but for Harnad’s Total Turing Test (TTT), a more stringent version in which the judge can look at the contestants to determine which is a person and whic ...
Planning with Specialized SAT Solvers
Planning with Specialized SAT Solvers

... planners after it has been grounded. All the experiments were run in an Intel Xeon CPU E5405 at 2.00 GHz with a minimum of 4 GB of main memory and using only one CPU core. We ran our planner for all of the problem instances, giving a maximum of 300 seconds for each instance. The runtime includes all ...
experts
experts

... The expert system can be used many times with the same knowledge using that knowledge to solve different problems (just like a doctor uses their knowledge many times to diagnose and cure lots of patients). ...
Modified from
Modified from

... Artificial Intelligence and Expert Systems ...
Ethical Intelligence - The Unicist Research Institute
Ethical Intelligence - The Unicist Research Institute

... the environment adding value, and from that point on they grow. The environment’s moral stimulates or limits the development of the individuals’ ethics. Exposition to adversity, scarcity and risk catalyzes the evolution of ethics. Its failure inhibits it, its resolution strengthens it. (2) The strat ...
Cognitive Systems: Argument and Cognition
Cognitive Systems: Argument and Cognition

... abandon any logical form for human reasoning, treating it as the application of specialized procedures, invoked naturally depending on the situation in which people find themselves. Earlier work demonstrated empirically that humans perform with significant variation in successfully drawing conclusio ...
The CHREST Architecture of Cognition The Role of
The CHREST Architecture of Cognition The Role of

... The frame problem is a central issue in cognitive science and artificial intelligence: How can a system notice the relevant changes in the environment in real time whilst ignoring the indefinite number of changes that are irrelevant? CHREST’s solution consists of three parts, which all lead to a red ...
egpai 2016 - ECAI 2016
egpai 2016 - ECAI 2016

... Abstract. In our recent work on the measurement of (collective) intelligence, we used a dynamic intelligence test to measure and compare the performances of artificial agents. In this paper we give a detailed technical description of the testing framework, its design and implementation, showing how ...
sloman
sloman

... involve interactions between individuals, such as social and political developments). Another way of thinking about this is to regard an enduring society as a particular form of self-modifying agent with a complex distributed architecture. A different sort of question is whether a particular design ...
A Case Study in Developmental Robotics
A Case Study in Developmental Robotics

... a common one. For example, in an article (Barto et al., 1995) it was shown that majority of reinforcement learning (RL) algorithms are properly treated within the dynamic programming framework. RL methods which use dynamic programming as mathematical framework, require that environment be represente ...
news summary (5)
news summary (5)

... He says he used the technique to land his early computing jobs, including the most significant— at SRI International, a Menlo Park think tank that invented the concept of computer windows and the mouse. It was there, in the early 2000s, that Cheyer led the engineering of a Darpabacked AI effort to b ...
Cognitive Systems: Argument and Cognition
Cognitive Systems: Argument and Cognition

... abandon any logical form for human reasoning, treating it as the application of specialized procedures, invoked naturally depending on the situation in which people find themselves. Earlier work demonstrated empirically that humans perform with significant variation in successfully drawing conclusio ...
Artificial Intelligence
Artificial Intelligence

... • What is the relation between AI and logic? AI and philosophy? Logic and philosophy? • Explain the meaning of logic? reasoning? ontology? • What is Natural Language Processing? And how it is related to AI? • Why and how Probabilistic and statistical methods are used in AI ? • What are the major res ...
The Turing Ratio - Journal of Evolution and Technology
The Turing Ratio - Journal of Evolution and Technology

... 1.1 PROBLEM: MEASURING MIND The Turing Test was proposed by Alan Turing in [Turing 1950]. By providing an operational benchmark which could plausibly be passed by an entity only if that entity was in some sense intelligent, Turing moved the discussion of artificial intelligence to a new and more pro ...
Computational Creativity
Computational Creativity

... software that exhibits behaviour that would be deemed creative in humans. Such creative software can be used for autonomous creative tasks, such as inventing mathematical theories, writing poems, painting pictures, and composing music. However, computational creativity studies also enable us to unde ...
Artificial Intelligence and Environmental Decision Support Systems
Artificial Intelligence and Environmental Decision Support Systems

... consideration [2]. Human beings’ impact on the environment is often termed “pollution” in the broadest sense [3]. As pointed out by several authors, the environment is a complex and dynamic system where different aspects can lead to the same impact (e.g., the emission of global warming gases), while ...
Final Year Project Proposals (Academic Year 2016-17)
Final Year Project Proposals (Academic Year 2016-17)

... The aim of this project is to investigate a novel algorithm called CORF with Push-Pull inhibition for texture analysis. The said algorithm has already been found to achieve state-of-the-art performance in contour detection but its flexibility allows it to be suitable also for texture analysis. For e ...
AAAI News - Association for the Advancement of Artificial Intelligence
AAAI News - Association for the Advancement of Artificial Intelligence

... Newell Award. The ACM/AAAI Allen Newell Award is presented annually to an individual(s) whose career contributions display breadth within computer science, or bridge computer science and other disciplines. The award is sponsored by AAAI and ACM. This year the Allen Newell Award is given to two compu ...
Document
Document

... environment, sense and act autonomously in this environment, and by doing so realize a set of goals or tasks for which they are designed”. ...
SIGEVOlution - Volume 6 Issue 3-4
SIGEVOlution - Volume 6 Issue 3-4

... problem domain for artificial intelligence research, because they can be parsimoniously described yet are often hard to solve [20]. As such, puzzles have been the focus of substantial research in AI during the past decades (e.g., Hearn [11], Robertson and Munro [22]). Nonetheless, quite a few NP-Com ...
Towards Adversarial Reasoning in Statistical Relational Domains
Towards Adversarial Reasoning in Statistical Relational Domains

... Adversarial reasoning is a core component of artificial intelligence that has mostly been neglected by research in statistical relational methods. In ongoing work, we are exploring how statistical relational models can detect spam and fraud in relational domains such as Twitter (Yang, Harkreader, an ...
A guide for newsrooms in the age of smart machines
A guide for newsrooms in the age of smart machines

... if you will. Ironic perhaps, on its face, the move proved pivotal for the news agency in combating two mega-trends in the business — the relentless increase in news to be covered and the human constraints associated with covering it. Streamlining workflows, taking out grunt work, crunching more data ...
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Intelligence explosion

An intelligence explosion is the expected outcome of the hypothetically forthcoming technological singularity, that is, the result of man building artificial general intelligence (strong AI). Strong AI would be capable of recursive self-improvement leading to the emergence of superintelligence, the limits of which are unknown.The notion of an ""intelligence explosion"" was first described by Good (1965), who speculated on the effects of superhuman machines, should they ever be invented:Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.Although technological progress has been accelerating, it has been limited by the basic intelligence of the human brain, which has not, according to Paul R. Ehrlich, changed significantly for millennia. However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is more intelligent than humanity. If a superhuman intelligence were to be invented—either through the amplification of human intelligence or through artificial intelligence—it would bring to bear greater problem-solving and inventive skills than current humans are capable of. It could then design an even more capable machine, or re-write its own software to become even more intelligent. This more capable machine could then go on to design a machine of yet greater capability. These iterations of recursive self-improvement could accelerate, potentially allowing enormous qualitative change before any upper limits imposed by the laws of physics or theoretical computation set in.
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