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检索条件"任意字段=16th International Conference of Inductive Logic Programming"

共 318 条记录，以下是91-100 订阅

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the Event Calculus in Probabilistic logic programming with Annotated Disjunctions 16

The Event Calculus in Probabilistic Logic Programming with A...

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16th international conference on Autonomous Agents and Multiagent Systems (AAMAS)

作者： McAreavey, Kevin Bauters, Kim Liu, Weiru Hong, Jun Queens Univ Belfast Belfast Antrim North Ireland Univ Bristol Bristol Avon England Univ West England Bristol Avon England

ISBN: (纸本)9781510855076

We propose a new probabilistic extension to the event calculus using the probabilistic logic programming (PLP) language ProbLog, and a language construct called the annotated disjunction. this is the first extension of the event calculus capable of handling numerous sources of uncertainty (e.g. from primitive event observations and from composite event definitions). It is also the first extension capable of handling multiple sources of event observations (e.g. in multi-sensor environments). We describe characteristics of this new extension (e.g. rationality of conclusions), and prove some important properties (e.g. validity in ProbLog). Our extension is directly implementable in ProbLog, and we successfully apply it to the problem of activity recognition under uncertainty in an event detection data set obtained from vision analytics of bus surveillance video.

关键词： the event calculus event reasoning probabilistic logic programming ProbLog annotated disjunction

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A Declarative Modular Framework for Representing and Applying Ethical Principles 16

A Declarative Modular Framework for Representing and Applyin...

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16th international conference on Autonomous Agents and Multiagent Systems (AAMAS)

作者： Berreby, Fiona Bourgne, Gauvain Ganascia, Jean-Gabriel UPMC Sorbonne Univ CNRS UMR 7606LIP6 F-75005 Paris France

ISBN: (纸本)9781510855076

this paper investigates the use of high-level action languages for designing ethical autonomous agents. It proposes a novel and modular logic-based framework for representing and reasoning over a variety of ethical theories, based on a modified version of the Event Calculus and implemented in Answer Set programming. the ethical decision-making process is conceived of as a multi-step procedure captured by four types of interdependent models which allow the agent to assess its environment, reason over its accountability and make ethically informed choices. the overarching ambition of the presented research is twofold. First, to allow the systematic representation of an unbounded number of ethical reasoning processes, through a framework that is adaptable and extensible by virtue of its designed hierarchisation and standard syntax. Second, to avoid the pitfall of much research in current computational ethics that too readily embed moral information within computational engines, thereby feeding agents with atomic answers that fail to truly represent underlying dynamics. We aim instead to comprehensively displace the burden of moral reasoning from the programmer to the program itself.

关键词： Computational Ethics Answer Set programming Event Calculus Reasoning about Actions and Change

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lp2cpp: A Tool For Compiling Stratified logic Programs 16th

<i>lp2cpp</i>: A Tool For Compiling Stratified Logic Program...

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16th international conference of the Italian Association for Artificial Intelligence (AI*IA)

作者： Cuteri, Bernardo De Rosis, Alessandro Francesco Ricca, Francesco Univ Calabria DeMaCS Arcavacata Di Rende CS Italy

ISBN: (纸本)9783319701691;9783319701684

the evaluation of logic programs is traditionally implemented in monolithic systems that are general-purpose in the sense that they are able to process an entire class of programs. In this paper, we follow a different approach;we present a compilation procedure that is able to generate a problem-specific executable implementation of a given (non-ground) logic program. Our implementation follows a bottom-up evaluation strategy. Moreover, we implemented such procedure into a C++ tool and we present an experimental analysis that shows the performance benefits that can be obtained by a compilation-based approach.

关键词： Compilation logic programming Stratified programs Deductive databases

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A study on knowledge transfer between programming languages by programs meanings facets 2017

A study on knowledge transfer between programming languages ...

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16th Brazilian Symposium on Human Factors in Computing Systems, IHC 2017

作者： Barata, Pablo Eduardo Cabral Corrêa, João Victor P. Mota, Marcelle Pereira Universidade Federal Do Pará Belém Brazil Bolsista Do Programa de Iniciação Científica da UFPA Brazil

ISBN: (纸本)9781450363778

this paper presents a study about how different ways of representing meanings in programs can help in knowledge transfer of programming logic from a visual programming language to a textual programming language. these representations were carried out based on a model grounded on Semiotic Engineering theory from Blocky, a visual programming tool made by Google. the representations, named facets of meanings, have the main goal of assisting in the teaching and learning process of programming languages. An assessment of the produced facets with programming novices revealed that they are accomplishing part of their purposes, and there is evidence of the potential of this kind of technology in this context. © 2017 Association for Computing Machinery.

关键词： Visual languages

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TORNADO: A Spatio-Temporal Convolutional Regression Network for Video Action Proposal 16

TORNADO: A Spatio-Temporal Convolutional Regression Network ...

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16th IEEE international conference on Computer Vision (ICCV)

作者： Zhu, Hongyuan Vial, Romain Lu, Shijian ASTAR I2R Singapore Singapore MINES ParisTech Paris France Nanyang Technol Univ Singapore Singapore

ISBN: (纸本)9781538610329

Given a video clip, action proposal aims to quickly generate a number of spatio-temporal tubes that enclose candidate human activities. Recently, the regression-based networks and long-term recurrent convolutional network (L-RCN) have demonstrated superior performance in object detection and action recognition. However, the regression-based detectors perform inference without considering the temporal context among neighboring frames, and the LRC-N using global visual percepts lacks the capability to capture local temporal dynamics. In this paper, we present a novel framework called TORNADO for human action proposal detection in un-trimmed video clips. Specifically, we propose a spatio-temporal convolutional network that combines the advantages of regression-based detector and L-RCN by empowering Convolutional LSTM with regression capability. Our approach consists of a temporal convolutional regression network (T-CRN) and a spatial regression network (S-CRN) which are trained end-to-end on both RG-B and optical flow streams. they fuse appearance, motion and temporal contexts to regress the bounding boxes of candidate human actions simultaneously in 28 FPS. the action proposals are constructed by solving dynamic programming with peak trimming of the generated action boxes. Extensive experiments on the challenging UCF-101 and UCF-Sports datasets show that our method achieves superior performance as compared with the state-of-the-arts.

关键词： Proposals Detectors Dynamic programming logic gates Tornadoes Electron tubes

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16th international conference on Artificial Intelligence and Soft Computing, ICAISC 2017

16th International Conference on Artificial Intelligence and...

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16th international conference on Artificial Intelligence and Soft Computing, ICAISC 2017

ISBN: (纸本)9783319590592

the proceedings contain 133 papers. the special focus in this conference is on Artificial Intelligence and Soft Computing. the topics include: Computer based stylometric analysis of texts in polish language;integration base classifiers based on their decision boundary;spark-based cluster implementation of a bug report assignment recommender system;the bag-of-words method with dictionary analysis by evolutionary algorithm;the novel method of the estimation of the Fourier transform based on noisy measurements;a framework for business failure prediction;detection of the innovative logotypes on the web pages;extraction and interpretation of textual data from Czech insolvency proceedings;spectral clustering for cell formation with minimum dissimilarities distance;exercise recognition using averaged hidden Markov models;a study of cluster validity indices for real-life data;improvement of the validity index for determination of an appropriate data partitioning;stylometric features for authorship attribution of polish texts;handwriting recognition with extraction of letter fragments;the concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming;linguistic habit graphs used for text representation and correction;dynamic epistemic preferential logic of action;proposal of a multi-agent system for a smart outdoor lighting environment;the use of heterogeneous cellular automata to study the capacity of the roundabout;a method for design of hardware emulators for a distributed network environment and conditioned anxiety mechanism as a basis for a procedure of control module of an autonomous robot.

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Towards Temporal logic Computation Using DNA Strand Displacement Reactions 16th

Towards Temporal Logic Computation Using DNA Strand Displace...

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16th international conference on Unconventional Computation and Natural Computation (UCNC)

作者： Lakin, Matthew R. Stefanovic, Darko Univ New Mexico Dept Chem & Biol Engn Albuquerque NM 87131 USA Univ New Mexico Dept Comp Sci Albuquerque NM 87131 USA Univ New Mexico Ctr Biomed Engn Albuquerque NM 87131 USA

ISBN: (纸本)9783319581873;9783319581866

Time-varying signals are ubiquitous throughout science, and studying the high-level temporal structure of such processes is of significant practical importance. In this context, techniques from computer science such as temporal logic are a powerful tool. Temporal logic allows one to describe temporal properties of time-varying processes, e.g., the order in which particular events occur. In this paper, we show that DNA strand displacement reaction networks can be used to implement computations that check certain temporal relationships within time-varying input signals. A key aspect of this work is the development of DNA circuits that incorporate a primitive memory, so that their behavior is influenced not just by the current observed chemical environment, but also by environments observed in the past. We formalize our circuit designs in the DSD programming language and use simulation results to confirm that they function as intended. this work opens up the possibility of developing DNA circuits capable of long-term monitoring of processes such as cellular function, and points to possible designs of future DNA circuits that can decide more sophisticated temporal logics.

关键词： Temporal logic

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Experience-based Learning of Symbolic Numerical Constraints 16

Experience-based Learning of Symbolic Numerical Constraints

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16th IEEE-RAS international conference on Humanoid Robots (Humanoids)

作者： Solak, Gokhan Ak, Abdullah Cihan Sariel, Sanem Istanbul Tech Univ Artificial Intelligence & Robot Lab Comp Engn Dept Istanbul Turkey

ISBN: (纸本)9781509047185

Learning symbolic-level numerical constraints is key to use abstractions in effective reasoning and transfer of knowledge for robot systems. We investigate this problem in an experience-based learning framework which uses inductive logic programming as the learning method. Our particular focus is on learning numerical constraints which is an open issue for ILP systems. Some approaches overcome this by using background knowledge given by domain experts. However, using expert knowledge is both expensive and domain dependent. To obtain more general solutions, numerical constraints should be induced by the robot system itself. For this purpose, we present a constraint induction method based on lazy evaluation, designed for deriving general numerical constraints from observations. We extend Aleph, an existing ILP system based on inverse entailment, with a constraint induction approach using a constraint solver. We analyze our method on some sample scenarios and demonstrate the cases where our method can induce the target concept while the prior lazy evaluation method cannot. Our results indicate that our method can generalize numerical constraints by the self observations of robots.

关键词： experience-based learning inductive logic programming numerical reasoning in robots

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Elastic Virtual Machine Scheduling for Continuous Air Traffic Optimization 16

Elastic Virtual Machine Scheduling for Continuous Air Traffi...

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16th IEEE/ACM international Symposium on Cluster, Cloud and Grid Computing (CCGrid)

作者： Imai, Shigeru Patterson, Stacy Varela, Carlos A. Rensselaer Polytech Inst Dept Comp Sci Troy NY 12181 USA

ISBN: (纸本)9781509024537

As we are facing ever increasing air traffic demand, it is critical to enhance air traffic capacity and alleviate human controllers' workload by viewing air traffic optimization as a continuous/online streaming problem. Air traffic optimization is commonly formulated as an integer linear programming (ILP) problem. Since ILP is NP-hard, it is computationally intractable. Moreover, a fluctuating number of flights changes computational demand dynamically. In this paper, we present an elastic middleware framework that is specifically designed to solve ILP problems generated from continuous air traffic streams. Experiments show that our VM scheduling algorithm with time-series prediction can achieve similar performance to a static schedule while using 49% fewer VM hours for a realistic air traffic pattern.

关键词： Predictive models Optimization Scheduling algorithms Prediction algorithms Sparks Cloud computing air traffic Prediction algorithms Scheduling algorithms sparks Prediction models Cloud Computing virtual machines machine scheduling inductive logic programming

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Linear programming in a Multi-Criteria Model for Real Estate Appraisal 16th

Linear Programming in a Multi-Criteria Model for Real Estate...

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16th international conference on Computational Science and Its Applications (ICCSA)

作者： Manganelli, Benedetto De Paola, Pierfrancesco Del Giudice, Vincenzo Univ Basilicata Viale Ateneo Lucano I-85100 Potenza Italy Univ Naples Federico II Piazzale Vincenzo Tecchio I-80125 Naples Italy

ISBN: (纸本)9783319420851

In real estate appraisal, research has long been addressed to the experimentation of multi-parametric models able to reduce the margin of error of the estimate and to overcome or to limit, as far as possible, the problems and difficulties that the use of these models often involves. On the one hand, researchers are trying to overcome the essentially deductive approach that has characterized the traditional discipline, and on the other, to minimize the problems arising from a merely inductive approach. the real estate market is characterized by an inelastic supply and by properties whose complexity and differentiation often involve, also and especially on the demand side, subjective and psychological elements that could distort the results of an inductive investigation. this problem can be overcome by increasing the size of the survey sample, and by using statistical analysis. Statistical analyses, however, are often based on very strong assumptions. A multi-criteria valuation model that uses linear programming is applied to the real estate market. the model, integrated with the inductive and deductive approach, exceeds many of the assumptions of the best known statistical approaches.

关键词： Linear programming Multi-criteria valuation model Real estate market

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