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The Simulation of Action Strategies of Different Personalities
The Simulation of Action Strategies of Different Personalities

... also appreciate the efforts of Roman Seidl and Bettina Riegel for helping and carrying out the experiment. Special thanks to Ruth Feith and Karin Baker for their friendly efforts to understand German culture. And special thanks to my parents who gave me great support during this work. ...
C.V. - John P. Dickerson
C.V. - John P. Dickerson

... 1. Ahmed, F, JP Dickerson, and M Fuge (2017). Diverse Weighted Bipartite b-Matching. In: International Joint Conference on Artificial Intelligence (IJCAI). 2. Dickerson, JP, AM Kazachkov, AD Procaccia, and T Sandholm (2017). Small Representations of Big Kidney Exchange Graphs. In: Conference on Arti ...
WHAT DO YOU THINK ABOUT MACHINES THAT THINK?
WHAT DO YOU THINK ABOUT MACHINES THAT THINK?

... Will They Make Us Better People? ........................................................................................................ 163 "Turing+" Questions............................................................................................................................... 165 It Depe ...
Planning and acting in partially observable stochastic domains
Planning and acting in partially observable stochastic domains

... Another way to understand the infinite-horizon value function, V ∗ , is to approach it by using an ever-increasing discounted finite horizon. As the horizon, t, approaches infinity, Vt∗ approaches V ∗ . This is only guaranteed to occur when the discount factor, γ , is less than 1, which tends to was ...
approximate reasoning using anytime algorithms
approximate reasoning using anytime algorithms

... Modularity is widely recognized as an important issue in system design and implementation. However, the use of anytime algorithms as the components of a modular system presents a special type of scheduling problem. The question is how much time to allocate to each component in order to maximize the ...
Lecture 1 Course Introduction Artificial Intelligence
Lecture 1 Course Introduction Artificial Intelligence

... – What level of abstraction? “Knowledge” or “circuits”? – How to validate? Requires 1) Predicting and testing behavior of human subjects (top-down) 2) Direct identification from neurological data (bottom-up) Both approaches (roughly, Cognitive Science and Cognitive Neuroscience) are now distinct fro ...
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... But there is a 2nd aspect to n-sAI (maybe the Engineering part). This comes from recognising that symbolic AI approaches to eg pattern recognition are useless in comparison to the ability of a migrating bird (that does not use symbols or logic) … that the most complex bit of machinery humans have de ...
Reflections on Brian Shackels Usability
Reflections on Brian Shackels Usability

... of productivity and quality. But the picture is not simple. For example, it may not increase the speed of implementation or reliability of the programs, but may improve program understanding. Such process issues are at the core of Shackel’s paper. 3.2. On-going research into usability test methods I ...
Planning with h+ in Theory and Practice
Planning with h+ in Theory and Practice

... way than hFF . However, theoretically, the heuristics are incomparable (that is, either can be larger than the other). Neither hFF/a nor hsa is admissible. • The recently introduced local Steiner tree heuristic hlst (Keyder and Geffner 2009) is another method for computing more accurate relaxed pla ...
Comparing SAIL with various intelligent agents
Comparing SAIL with various intelligent agents

... Following the interrogatory section each AI was engaged in a conversation based on its persona. This would be considered a restricted Turing test as the focus was on criteria that the AI should be conversant in. As a noted researcher in the field said, if your are from planet XYZ, you should know w ...
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... In addition to the usual problems that arise during software development (e.g., selection of the hardware, choice of the programming language and the programming tools) there is the need to incorporate expert knowledge about the problem domain into a software system to make it an expert system. The ...
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... Figure 14.2: Human and Computer Capabilities © Leong Hon Wai, 2003-2008 ...
Application of Systemic Approach to Sophocles Global Specification
Application of Systemic Approach to Sophocles Global Specification

... enterprise with an objective to support the activity of the design of, so called, systems on a chip. The hypothetical SOPHOCLES Virtual Cyber Enterprise will be a complex heterogeneous system which development involves numerous technologies and specialists from different engineering and scientific a ...
PDF 2 of 2 - Massachusetts Institute of Technology
PDF 2 of 2 - Massachusetts Institute of Technology

... interpretation. The fact that I used this word, "circle", makes you guess that probably the interpretation of circle is going to be true for the red object. But of course it needn't be. The fact that those marks on the page are like an English word that we think means something about the shape of an ...
Comprehensive Introduction to Intelligent Software Agents for
Comprehensive Introduction to Intelligent Software Agents for

... This is a dangerous time for professional accountants. Technology is changing very rapidly. For example, terms like “Big Data” and “Deep Learning” and “Artificial Intelligence” are being thrown about by software vendors, some of which are little more than snake oil salesman; with these new technolog ...
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Argumentation Theory in the Field: An Empirical Study of

... Definition 2. An extension S ⊆ A is a set of arguments that satisfies some rules of reasoning. Complete Extension: E is a complete extension of A iff it is an admissible set and every acceptable argument with respect to E belongs to E. Preferred Extension: E is a preferred-extension in A iff it is a ...
Incremental Heuristic Search in AI
Incremental Heuristic Search in AI

... 1998). They differ in their assumptions, for example, whether they solve single-source or allpairs shortest-path problems, which performance measure they use, when they update the shortest paths, which kinds of graph topologies and edge costs they apply to, and how the graph topology and edge costs ...
Bayesian AI Introduction - Australasian Bayesian Network Modelling
Bayesian AI Introduction - Australasian Bayesian Network Modelling

... identified with the limit frequency in a (hypothetical) sequence, which is invariant under prior computable selections of subsequences. • Prob of rain tomorrow = 0.5 means. . . ...
Aalborg Universitet The Meaning of Action
Aalborg Universitet The Meaning of Action

... robust and reliable manner to maintain a maximal degree of entertainment. The surveillance and entertainment applications receive a strong attention from the computer vision community. Here, action recognition is often treated as a pattern matching problem with an additional timedimension. A strong ...
Using Anytime Algorithms in Intelligent Systems
Using Anytime Algorithms in Intelligent Systems

... point of time. These data form the quality map of the algorithm. Figure 2 shows the quality map of the randomized tour-improvement algorithm. It summarizes the results of many activations of the algorithm with randomly generated input instances (including 50 cities). Each point (t, q) represents an ...
DCP 1172: Introduction to Artificial Intelligence
DCP 1172: Introduction to Artificial Intelligence

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GQR: A Fast Solver for Binary Qualitative Constraint Networks
GQR: A Fast Solver for Binary Qualitative Constraint Networks

... Qualitative constraint calculi are representation formalisms for efficient reasoning about continuous aspects of the world, such as space and time. Qualitative information, when represented as constraint networks, can be checked for consistency by applying well-known constraint techniques. GQR (Gene ...
A Normal Form for Classical Planning Tasks
A Normal Form for Classical Planning Tasks

... Bäckström 2014; Bonet 2013; Eyerich and Helmert 2013; Sievers, Ortlieb, and Helmert 2012; van den Briel et al. 2007; Zhang, Wang, and Xie 2014). There exists a well-known transformation to achieve such a “normal form”, but it can increase the size of the task exponentially. We introduce an alterna ...
Machine Consciousness: A Modern Approach
Machine Consciousness: A Modern Approach

... are several and often conflicting hypotheses. According to some authors, consciousness is the result of a special kind of information process related with information integration (Tononi 2004b; Tononi 2008). According to another group depend on goal generation and development (Manzotti and Tagliasco ...
Early Artificial Life
Early Artificial Life

... But there is a 2nd aspect to n-sAI (maybe the Engineering part). This comes from recognising that symbolic AI approaches to eg pattern recognition are useless in comparison to the ability of a migrating bird (that does not use symbols or logic) … that the most complex bit of machinery humans have de ...
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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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