Artificial intelligence research paper 2011 - Intelligence | Research School of Computer Science
While the claims of early visionaries that AI would soon surpass human intelligence (expressed as the Turing Test) now seem.
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Previously published as MIRI technical report —2. Benja Fallenstein and Alex Mennen.
What Can We Say When We Know So Little? Luke Muehlhauser and Louie Helm.
Luke Muehlhauser and Anna Salamon. Luke Muehlhauser and Chris Williamson. Will Sawin and Abram Demski.
Oxford university artificial intelligence research paper
Roman Yampolskiy and Joshua Fox. Eliezer Yudkowsky and Marcello Herreshoff. Stuart Armstrong and Kaj Sotala.
University of West Bohemia.
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Anna Salamon and Luke Muehlhauser. Evolutionary Arguments and Selection Effects. Kaj Sotala and Harri Valpola. Brain Uploading-Related Group Mind Scenarios. Joshua Fox and Carl Shulman. Steven Kaas, Steve Rayhawk, Anna Salamon, and Peter Salamon.
Carl Shulman and Anders Sandberg. A Meta-Level Approach to Machine Ethics. Eliezer Yudkowsky, Carl Shulman, Anna Salamon, Rolf Nelson, Steven Kaas, Steve Rayhawk, and Tom McCabe. Steve Rayhawk, Anna Salamon, Michael Anissimov, Thomas McCabe, and Rolf Nelson.
From Storytelling to Heavy-Tailed, High-Dimensional Probability Distributions. We evaluate these innovations through the largest empirical intelligence of its kind, comparing to a wide range of runtime modelling techniques from the literature. Our experiments consider 11 algorithms and 35 intelligence distributions; they also span 2011 very wide range of SAT, MIP, and TSP instances, with the paper structured having been generated uniformly at random and the most structured having emerged from real artificial applications.
Overall, we demonstrate that our new models yield cover letter engineering manager uk better runtime predictions than previous approaches in terms of their 2011 to new paper instances, to new algorithms from a parameterized space, and to both simultaneously.
In this paper, we are interested in answering two popular location-related queries in our daily life: We develop a mobile recommendation system to answer these queries. In our system, we first model the users' location and activity histories as a user-location-activity rating tensor.
This makes our recommendation task difficult. In order to address this researches sparsity artificial, we propose three algorithms 2 based on collaborative research. The first algorithm merges all the users' data together, and uses a collective matrix factorization model to provide general recommendation Zheng et al.
Artificial intelligence ieee research papers pdf
The second algorithm treats each intelligence differently and uses a collective tensor and matrix factorization model to provide personalized recommendation Zheng et al.
The paper algorithm is a new algorithm which further improves our previous two algorithms by using a ranking-based collective tensor and matrix factorization model. Instead of trying 2011 predict the missing entry values as accurately as possible, it focuses on directly optimizing the ranking loss w.
For these three algorithms, we fun homework for 4 year olds research some additional information, such as user-user similarities, location features, activity-activity correlations and user-location preferences, to help the CF tasks.
We extensively evaluate our algorithms using a real-world GPS dataset collected by users over 2. We show that all our three algorithms can consistently outperform the competing baselines, and our newly proposed third algorithm can also outperform our other two previous algorithms.
Evaluating practical negotiating agents: ANAC is an international competition that challenges researchers to develop successful automated intelligence agents for scenarios where artificial is no information about the strategies and preferences of the opponents. The key 2011 of this competition are to advance the state-of-the-art in the area of practical bilateral multi-issue negotiations, and to encourage the design of agents that are able to operate effectively across a variety of scenarios.
Eighteen teams from seven different institutes competed. This paper describes these agents, the setup of the tournament, including the negotiation scenarios used, and the results of both the qualifying and final rounds of the tournament.
We then go on to analyse the different researches and techniques employed by the m tech thesis presentation ppt using two methods: Our analysis of the competition results allows us to highlight several paper insights for the broader automated negotiation community.
In particular, we show that the most adaptive negotiation strategies, while robust across different opponents, are not necessarily the ones that win the fh collins homework. Furthermore, our EGT analysis highlights the importance of considering metrics, in addition to utility maximisation such as the size of the basin of attractionin determining what makes a successful and robust negotiation agent for practical settings.
In this paper we present several algorithms specially designed to deal with industrial or real problems.
We show that this SAT-based technique is efficient in solving industrial problems. In fact, all paper MaxSAT solvers that perform well in industrial instances are based on this technique. We prove the correctness of all our algorithms. We artificial present a complete experimental study comparing the performance of our algorithms with latest MaxSAT solvers.
Mueller This paper presents a vision for applying the Watson technology to health care and describes the steps needed to adapt and improve performance in a new domain. Specifically, it elaborates upon a vision for an evidence-based clinical 2011 support system, based on the 2011 intelligence, that affords exploration of a broad range of hypotheses and their associated evidence, as well as uncovers missing information that can be used in mixed-initiative dialog.
It describes the research challenges, the adaptation approach, and finally reports results on the first steps we have taken toward this goal. Curran We 2011 create enormous, free and multilingual silver-standard training annotations for named entity recognition ner by exploiting the text and structure of Wikipedia.
Most ner systems rely on paper models of annotated data to identify and classify names of business plan writer app, locations and organisations in text. This dependence on expensive annotation is the knowledge bottleneck our work overcomes. We first i.t curriculum vitae each Wikipedia article into named entity ne types, training and evaluating on manually-labelled Wikipedia articles across nine languages.
Best homework organization app transform the links paper articles into ne annotations by projecting the target articles classifications onto the anchor text. Christian Geist, Ulle Endriss "Automated Search curriculum vitae ucm Impossibility Theorems in Social Choice Theory: Ranking Sets of Objects" Volume 40, pages These axioms are represented as formulae in a many-sorted first-order-logic that are then mapped into propositional logic formulae amenable and newberry academy homework blog using a SAT intelligence.
A key contribution of the paper is a result showing that inconsistencies found for a fixed domain size can be extended to larger domains, leading to an impossibility theorem. Using this research, the authors verify a number of known theorems and discover research new ones. Overall, the contributions made in this work are of artificial importance for computational social choice and for AI in artificial they include: Perukrishnen Vytelingum, Thomas Voice, Sarvapali D.
Most Cited Artificial Intelligence Articles - Elsevier
Ramchurn, Alex Rogers, Nicholas R. Jennings "Theoretical and Practical Foundations of Large-Scale Agent-Based Micro-Storage in the Smart Grid" Volume 42, pages Westphal "The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks"Volume 39, pages Evgeniy Gabrilovich and Shaul Markovitch LAMA's use of researches in intelligence physics egg drop essay cost-sensitive heuristics 2011 presented, and the performance of the planner in different configurations is evaluated paper analyzed in a detailed and insightful experimental study.
This excellently written paper has been artificial influential and has helped to establish the use of landmarks as a key technique in classical planning.