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18,202 | Classifying Signals with Local Classifiers | cs.AI | This paper deals with the problem of classifying signals. The new method for
building so called local classifiers and local features is presented. The
method is a combination of the lifting scheme and the support vector machines.
Its main aim is to produce effective and yet comprehensible classifiers that
would help in... | computer science |
18,203 | Open Answer Set Programming with Guarded Programs | cs.AI | Open answer set programming (OASP) is an extension of answer set programming
where one may ground a program with an arbitrary superset of the program's
constants. We define a fixed point logic (FPL) extension of Clark's completion
such that open answer sets correspond to models of FPL formulas and identify a
syntactic ... | computer science |
18,204 | Metatheory of actions: beyond consistency | cs.AI | Consistency check has been the only criterion for theory evaluation in
logic-based approaches to reasoning about actions. This work goes beyond that
and contributes to the metatheory of actions by investigating what other
properties a good domain description in reasoning about actions should have. We
state some metathe... | computer science |
18,205 | Estimation of linear, non-gaussian causal models in the presence of
confounding latent variables | cs.AI | The estimation of linear causal models (also known as structural equation
models) from data is a well-known problem which has received much attention in
the past. Most previous work has, however, made an explicit or implicit
assumption of gaussianity, limiting the identifiability of the models. We have
recently shown (... | computer science |
18,206 | Application of Support Vector Regression to Interpolation of Sparse
Shock Physics Data Sets | cs.AI | Shock physics experiments are often complicated and expensive. As a result,
researchers are unable to conduct as many experiments as they would like -
leading to sparse data sets. In this paper, Support Vector Machines for
regression are applied to velocimetry data sets for shock damaged and melted
tin metal. Some succ... | computer science |
18,207 | Approximation Algorithms for K-Modes Clustering | cs.AI | In this paper, we study clustering with respect to the k-modes objective
function, a natural formulation of clustering for categorical data. One of the
main contributions of this paper is to establish the connection between k-modes
and k-median, i.e., the optimum of k-median is at most twice the optimum of
k-modes for ... | computer science |
18,208 | Can an Organism Adapt Itself to Unforeseen Circumstances? | cs.AI | A model of an organism as an autonomous intelligent system has been proposed.
This model was used to analyze learning of an organism in various environmental
conditions. Processes of learning were divided into two types: strong and weak
processes taking place in the absence and the presence of aprioristic
information a... | computer science |
18,209 | Adaptative combination rule and proportional conflict redistribution
rule for information fusion | cs.AI | This paper presents two new promising rules of combination for the fusion of
uncertain and potentially highly conflicting sources of evidences in the
framework of the theory of belief functions in order to palliate the well-know
limitations of Dempster's rule and to work beyond the limits of applicability
of the Dempst... | computer science |
18,210 | Retraction and Generalized Extension of Computing with Words | cs.AI | Fuzzy automata, whose input alphabet is a set of numbers or symbols, are a
formal model of computing with values. Motivated by Zadeh's paradigm of
computing with words rather than numbers, Ying proposed a kind of fuzzy
automata, whose input alphabet consists of all fuzzy subsets of a set of
symbols, as a formal model o... | computer science |
18,211 | A Knowledge-Based Approach for Selecting Information Sources | cs.AI | Through the Internet and the World-Wide Web, a vast number of information
sources has become available, which offer information on various subjects by
different providers, often in heterogeneous formats. This calls for tools and
methods for building an advanced information-processing infrastructure. One
issue in this a... | computer science |
18,212 | Perspective alignment in spatial language | cs.AI | It is well known that perspective alignment plays a major role in the
planning and interpretation of spatial language. In order to understand the
role of perspective alignment and the cognitive processes involved, we have
made precise complete cognitive models of situated embodied agents that
self-organise a communicat... | computer science |
18,213 | Reasoning and Planning with Sensing Actions, Incomplete Information, and
Static Causal Laws using Answer Set Programming | cs.AI | We extend the 0-approximation of sensing actions and incomplete information
in [Son and Baral 2000] to action theories with static causal laws and prove
its soundness with respect to the possible world semantics. We also show that
the conditional planning problem with respect to this approximation is
NP-complete. We th... | computer science |
18,214 | Approximate Discrete Probability Distribution Representation using a
Multi-Resolution Binary Tree | cs.AI | Computing and storing probabilities is a hard problem as soon as one has to
deal with complex distributions over multiple random variables. The problem of
efficient representation of probability distributions is central in term of
computational efficiency in the field of probabilistic reasoning. The main
problem arises... | computer science |
18,215 | Diagnosability of Fuzzy Discrete Event Systems | cs.AI | In order to more effectively cope with the real-world problems of vagueness,
{\it fuzzy discrete event systems} (FDESs) were proposed recently, and the
supervisory control theory of FDESs was developed. In view of the importance of
failure diagnosis, in this paper, we present an approach of the failure
diagnosis in the... | computer science |
18,216 | Classification of Ordinal Data | cs.AI | Classification of ordinal data is one of the most important tasks of relation
learning. In this thesis a novel framework for ordered classes is proposed. The
technique reduces the problem of classifying ordered classes to the standard
two-class problem. The introduced method is then mapped into support vector
machines ... | computer science |
18,217 | Imagination as Holographic Processor for Text Animation | cs.AI | Imagination is the critical point in developing of realistic artificial
intelligence (AI) systems. One way to approach imagination would be simulation
of its properties and operations. We developed two models: AI-Brain Network
Hierarchy of Languages and Semantical Holographic Calculus as well as
simulation system Scrip... | computer science |
18,218 | Belief Calculus | cs.AI | In Dempster-Shafer belief theory, general beliefs are expressed as belief
mass distribution functions over frames of discernment. In Subjective Logic
beliefs are expressed as belief mass distribution functions over binary frames
of discernment. Belief representations in Subjective Logic, which are called
opinions, also... | computer science |
18,219 | The Cumulative Rule for Belief Fusion | cs.AI | The problem of combining beliefs in the Dempster-Shafer belief theory has
attracted considerable attention over the last two decades. The classical
Dempster's Rule has often been criticised, and many alternative rules for
belief combination have been proposed in the literature. The consensus operator
for combining beli... | computer science |
18,220 | New Millennium AI and the Convergence of History | cs.AI | Artificial Intelligence (AI) has recently become a real formal science: the
new millennium brought the first mathematically sound, asymptotically optimal,
universal problem solvers, providing a new, rigorous foundation for the
previously largely heuristic field of General AI and embedded agents. At the
same time there ... | computer science |
18,221 | Belief Conditioning Rules (BCRs) | cs.AI | In this paper we propose a new family of Belief Conditioning Rules (BCRs) for
belief revision. These rules are not directly related with the fusion of
several sources of evidence but with the revision of a belief assignment
available at a given time according to the new truth (i.e. conditioning
constraint) one has abou... | computer science |
18,222 | Islands for SAT | cs.AI | In this note we introduce the notion of islands for restricting local search.
We show how we can construct islands for CNF SAT problems, and how much search
space can be eliminated by restricting search to the island. | computer science |
18,223 | About Norms and Causes | cs.AI | Knowing the norms of a domain is crucial, but there exist no repository of
norms. We propose a method to extract them from texts: texts generally do not
describe a norm, but rather how a state-of-affairs differs from it. Answers
concerning the cause of the state-of-affairs described often reveal the
implicit norm. We a... | computer science |
18,224 | Representing Knowledge about Norms | cs.AI | Norms are essential to extend inference: inferences based on norms are far
richer than those based on logical implications. In the recent decades, much
effort has been devoted to reason on a domain, once its norms are represented.
How to extract and express those norms has received far less attention.
Extraction is dif... | computer science |
18,225 | Target Type Tracking with PCR5 and Dempster's rules: A Comparative
Analysis | cs.AI | In this paper we consider and analyze the behavior of two combinational rules
for temporal (sequential) attribute data fusion for target type estimation. Our
comparative analysis is based on Dempster's fusion rule proposed in
Dempster-Shafer Theory (DST) and on the Proportional Conflict Redistribution
rule no. 5 (PCR5)... | computer science |
18,226 | Fusion of qualitative beliefs using DSmT | cs.AI | This paper introduces the notion of qualitative belief assignment to model
beliefs of human experts expressed in natural language (with linguistic
labels). We show how qualitative beliefs can be efficiently combined using an
extension of Dezert-Smarandache Theory (DSmT) of plausible and paradoxical
quantitative reasoni... | computer science |
18,227 | An Introduction to the DSm Theory for the Combination of Paradoxical,
Uncertain, and Imprecise Sources of Information | cs.AI | The management and combination of uncertain, imprecise, fuzzy and even
paradoxical or high conflicting sources of information has always been, and
still remains today, of primal importance for the development of reliable
modern information systems involving artificial reasoning. In this
introduction, we present a surve... | computer science |
18,228 | Relation Variables in Qualitative Spatial Reasoning | cs.AI | We study an alternative to the prevailing approach to modelling qualitative
spatial reasoning (QSR) problems as constraint satisfaction problems. In the
standard approach, a relation between objects is a constraint whereas in the
alternative approach it is a variable. The relation-variable approach greatly
simplifies i... | computer science |
18,229 | Using Sets of Probability Measures to Represent Uncertainty | cs.AI | I explore the use of sets of probability measures as a representation of
uncertainty. | computer science |
18,230 | A State-Based Regression Formulation for Domains with Sensing
Actions<br> and Incomplete Information | cs.AI | We present a state-based regression function for planning domains where an
agent does not have complete information and may have sensing actions. We
consider binary domains and employ a three-valued characterization of domains
with sensing actions to define the regression function. We prove the soundness
and completene... | computer science |
18,231 | Semantic Description of Parameters in Web Service Annotations | cs.AI | A modification of OWL-S regarding parameter description is proposed. It is
strictly based on Description Logic. In addition to class description of
parameters it also allows the modelling of relations between parameters and the
precise description of the size of data to be supplied to a service. In
particular, it solve... | computer science |
18,232 | The ALVIS Format for Linguistically Annotated Documents | cs.AI | The paper describes the ALVIS annotation format designed for the indexing of
large collections of documents in topic-specific search engines. This paper is
exemplified on the biological domain and on MedLine abstracts, as developing a
specialized search engine for biologists is one of the ALVIS case studies. The
ALVIS ... | computer science |
18,233 | Modular self-organization | cs.AI | The aim of this paper is to provide a sound framework for addressing a
difficult problem: the automatic construction of an autonomous agent's modular
architecture. We combine results from two apparently uncorrelated domains:
Autonomous planning through Markov Decision Processes and a General Data
Clustering Approach us... | computer science |
18,234 | The Reaction RuleML Classification of the Event / Action / State
Processing and Reasoning Space | cs.AI | Reaction RuleML is a general, practical, compact and user-friendly
XML-serialized language for the family of reaction rules. In this white paper
we give a review of the history of event / action /state processing and
reaction rule approaches and systems in different domains, define basic
concepts and give a classificat... | computer science |
18,235 | Fuzzy Logic Classification of Imaging Laser Desorption Fourier Transform
Mass Spectrometry Data | cs.AI | A fuzzy logic based classification engine has been developed for classifying
mass spectra obtained with an imaging internal source Fourier transform mass
spectrometer (I^2LD-FTMS). Traditionally, an operator uses the relative
abundance of ions with specific mass-to-charge (m/z) ratios to categorize
spectra. An operator... | computer science |
18,236 | A Neutrosophic Description Logic | cs.AI | Description Logics (DLs) are appropriate, widely used, logics for managing
structured knowledge. They allow reasoning about individuals and concepts, i.e.
set of individuals with common properties. Typically, DLs are limited to
dealing with crisp, well defined concepts. That is, concepts for which the
problem whether a... | computer science |
18,237 | Genetic Programming for Kernel-based Learning with Co-evolving Subsets
Selection | cs.AI | Support Vector Machines (SVMs) are well-established Machine Learning (ML)
algorithms. They rely on the fact that i) linear learning can be formalized as
a well-posed optimization problem; ii) non-linear learning can be brought into
linear learning thanks to the kernel trick and the mapping of the initial
search space o... | computer science |
18,238 | Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary
Optimization | cs.AI | Functional brain imaging is a source of spatio-temporal data mining problems.
A new framework hybridizing multi-objective and multi-modal optimization is
proposed to formalize these data mining problems, and addressed through
Evolutionary Computation (EC). The merits of EC for spatio-temporal data mining
are demonstrat... | computer science |
18,239 | A Generic Global Constraint based on MDDs | cs.AI | The paper suggests the use of Multi-Valued Decision Diagrams (MDDs) as the
supporting data structure for a generic global constraint. We give an algorithm
for maintaining generalized arc consistency (GAC) on this constraint that
amortizes the cost of the GAC computation over a root-to-terminal path in the
search tree. ... | computer science |
18,240 | Attribute Value Weighting in K-Modes Clustering | cs.AI | In this paper, the traditional k-modes clustering algorithm is extended by
weighting attribute value matches in dissimilarity computation. The use of
attribute value weighting technique makes it possible to generate clusters with
stronger intra-similarities, and therefore achieve better clustering
performance. Experime... | computer science |
18,241 | Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in<br>
SAT-Based Planning | cs.AI | In Verification and in (optimal) AI Planning, a successful method is to
formulate the application as boolean satisfiability (SAT), and solve it with
state-of-the-art DPLL-based procedures. There is a lack of understanding of why
this works so well. Focussing on the Planning context, we identify a form of
problem struct... | computer science |
18,242 | Uniform and Partially Uniform Redistribution Rules | cs.AI | This short paper introduces two new fusion rules for combining quantitative
basic belief assignments. These rules although very simple have not been
proposed in literature so far and could serve as useful alternatives because of
their low computation cost with respect to the recent advanced Proportional
Conflict Redist... | computer science |
18,243 | Generic Global Constraints based on MDDs | cs.AI | Constraint Programming (CP) has been successfully applied to both constraint
satisfaction and constraint optimization problems. A wide variety of
specialized global constraints provide critical assistance in achieving a good
model that can take advantage of the structure of the problem in the search for
a solution. How... | computer science |
18,244 | Redesigning Decision Matrix Method with an indeterminacy-based inference
process | cs.AI | For academics and practitioners concerned with computers, business and
mathematics, one central issue is supporting decision makers. In this paper, we
propose a generalization of Decision Matrix Method (DMM), using Neutrosophic
logic. It emerges as an alternative to the existing logics and it represents a
mathematical ... | computer science |
18,245 | Modelling Complexity in Musical Rhythm | cs.AI | This paper constructs a tree structure for the music rhythm using the
L-system. It models the structure as an automata and derives its complexity. It
also solves the complexity for the L-system. This complexity can resolve the
similarity between trees. This complexity serves as a measure of psychological
complexity for... | computer science |
18,246 | Space-contained conflict revision, for geographic information | cs.AI | Using qualitative reasoning with geographic information, contrarily, for
instance, with robotics, looks not only fastidious (i.e.: encoding knowledge
Propositional Logics PL), but appears to be computational complex, and not
tractable at all, most of the time. However, knowledge fusion or revision, is a
common operatio... | computer science |
18,247 | Case Base Mining for Adaptation Knowledge Acquisition | cs.AI | In case-based reasoning, the adaptation of a source case in order to solve
the target problem is at the same time crucial and difficult to implement. The
reason for this difficulty is that, in general, adaptation strongly depends on
domain-dependent knowledge. This fact motivates research on adaptation
knowledge acquis... | computer science |
18,248 | Fault Classification in Cylinders Using Multilayer Perceptrons, Support
Vector Machines and Guassian Mixture Models | cs.AI | Gaussian mixture models (GMM) and support vector machines (SVM) are
introduced to classify faults in a population of cylindrical shells. The
proposed procedures are tested on a population of 20 cylindrical shells and
their performance is compared to the procedure, which uses multi-layer
perceptrons (MLP). The modal pro... | computer science |
18,249 | Learning to Bluff | cs.AI | The act of bluffing confounds game designers to this day. The very nature of
bluffing is even open for debate, adding further complication to the process of
creating intelligent virtual players that can bluff, and hence play,
realistically. Through the use of intelligent, learning agents, and carefully
designed agent o... | computer science |
18,250 | Soft constraint abstraction based on semiring homomorphism | cs.AI | The semiring-based constraint satisfaction problems (semiring CSPs), proposed
by Bistarelli, Montanari and Rossi \cite{BMR97}, is a very general framework of
soft constraints. In this paper we propose an abstraction scheme for soft
constraints that uses semiring homomorphism. To find optimal solutions of the
concrete p... | computer science |
18,251 | Bayesian Approach to Neuro-Rough Models | cs.AI | This paper proposes a neuro-rough model based on multi-layered perceptron and
rough set. The neuro-rough model is then tested on modelling the risk of HIV
from demographic data. The model is formulated using Bayesian framework and
trained using Monte Carlo method and Metropolis criterion. When the model was
tested to e... | computer science |
18,252 | Artificial Neural Networks and Support Vector Machines for Water Demand
Time Series Forecasting | cs.AI | Water plays a pivotal role in many physical processes, and most importantly
in sustaining human life, animal life and plant life. Water supply entities
therefore have the responsibility to supply clean and safe water at the rate
required by the consumer. It is therefore necessary to implement mechanisms and
systems tha... | computer science |
18,253 | Fuzzy Artmap and Neural Network Approach to Online Processing of Inputs
with Missing Values | cs.AI | An ensemble based approach for dealing with missing data, without predicting
or imputing the missing values is proposed. This technique is suitable for
online operations of neural networks and as a result, is used for online
condition monitoring. The proposed technique is tested in both classification
and regression pr... | computer science |
18,254 | Artificial Intelligence for Conflict Management | cs.AI | Militarised conflict is one of the risks that have a significant impact on
society. Militarised Interstate Dispute (MID) is defined as an outcome of
interstate interactions, which result on either peace or conflict. Effective
prediction of the possibility of conflict between states is an important
decision support tool... | computer science |
18,255 | Evolving Symbolic Controllers | cs.AI | The idea of symbolic controllers tries to bridge the gap between the top-down
manual design of the controller architecture, as advocated in Brooks'
subsumption architecture, and the bottom-up designer-free approach that is now
standard within the Evolutionary Robotics community. The designer provides a
set of elementar... | computer science |
18,256 | Robust Multi-Cellular Developmental Design | cs.AI | This paper introduces a continuous model for Multi-cellular Developmental
Design. The cells are fixed on a 2D grid and exchange "chemicals" with their
neighbors during the growth process. The quantity of chemicals that a cell
produces, as well as the differentiation value of the cell in the phenotype,
are controlled by... | computer science |
18,257 | Response Prediction of Structural System Subject to Earthquake Motions
using Artificial Neural Network | cs.AI | This paper uses Artificial Neural Network (ANN) models to compute response of
structural system subject to Indian earthquakes at Chamoli and Uttarkashi
ground motion data. The system is first trained for a single real earthquake
data. The trained ANN architecture is then used to simulate earthquakes with
various intens... | computer science |
18,258 | Fault Classification using Pseudomodal Energies and Neuro-fuzzy
modelling | cs.AI | This paper presents a fault classification method which makes use of a
Takagi-Sugeno neuro-fuzzy model and Pseudomodal energies calculated from the
vibration signals of cylindrical shells. The calculation of Pseudomodal
Energies, for the purposes of condition monitoring, has previously been found
to be an accurate meth... | computer science |
18,259 | On-Line Condition Monitoring using Computational Intelligence | cs.AI | This paper presents bushing condition monitoring frameworks that use
multi-layer perceptrons (MLP), radial basis functions (RBF) and support vector
machines (SVM) classifiers. The first level of the framework determines if the
bushing is faulty or not while the second level determines the type of fault.
The diagnostic ... | computer science |
18,260 | The Road to Quantum Artificial Intelligence | cs.AI | This paper overviews the basic principles and recent advances in the emerging
field of Quantum Computation (QC), highlighting its potential application to
Artificial Intelligence (AI). The paper provides a very brief introduction to
basic QC issues like quantum registers, quantum gates and quantum algorithms
and then i... | computer science |
18,261 | Truecluster matching | cs.AI | Cluster matching by permuting cluster labels is important in many clustering
contexts such as cluster validation and cluster ensemble techniques. The
classic approach is to minimize the euclidean distance between two cluster
solutions which induces inappropriate stability in certain settings. Therefore,
we present the ... | computer science |
18,262 | Automatically Restructuring Practice Guidelines using the GEM DTD | cs.AI | This paper describes a system capable of semi-automatically filling an XML
template from free texts in the clinical domain (practice guidelines). The XML
template includes semantic information not explicitly encoded in the text
(pairs of conditions and actions/recommendations). Therefore, there is a need
to compute the... | computer science |
18,263 | Temporal Reasoning without Transitive Tables | cs.AI | Representing and reasoning about qualitative temporal information is an
essential part of many artificial intelligence tasks. Lots of models have been
proposed in the litterature for representing such temporal information. All
derive from a point-based or an interval-based framework. One fundamental
reasoning task that... | computer science |
18,264 | A Collection of Definitions of Intelligence | cs.AI | This paper is a survey of a large number of informal definitions of
``intelligence'' that the authors have collected over the years. Naturally,
compiling a complete list would be impossible as many definitions of
intelligence are buried deep inside articles and books. Nevertheless, the
70-odd definitions presented here... | computer science |
18,265 | A Robust Linguistic Platform for Efficient and Domain specific Web
Content Analysis | cs.AI | Web semantic access in specific domains calls for specialized search engines
with enhanced semantic querying and indexing capacities, which pertain both to
information retrieval (IR) and to information extraction (IE). A rich
linguistic analysis is required either to identify the relevant semantic units
to index and we... | computer science |
18,266 | Mixed Integer Linear Programming For Exact Finite-Horizon Planning In
Decentralized Pomdps | cs.AI | We consider the problem of finding an n-agent joint-policy for the optimal
finite-horizon control of a decentralized Pomdp (Dec-Pomdp). This is a problem
of very high complexity (NEXP-hard in n >= 2). In this paper, we propose a new
mathematical programming approach for the problem. Our approach is based on two
ideas: ... | computer science |
18,267 | A Leaf Recognition Algorithm for Plant Classification Using
Probabilistic Neural Network | cs.AI | In this paper, we employ Probabilistic Neural Network (PNN) with image and
data processing techniques to implement a general purpose automated leaf
recognition algorithm. 12 leaf features are extracted and orthogonalized into 5
principal variables which consist the input vector of the PNN. The PNN is
trained by 1800 le... | computer science |
18,268 | 2006: Celebrating 75 years of AI - History and Outlook: the Next 25
Years | cs.AI | When Kurt Goedel layed the foundations of theoretical computer science in
1931, he also introduced essential concepts of the theory of Artificial
Intelligence (AI). Although much of subsequent AI research has focused on
heuristics, which still play a major role in many practical AI applications, in
the new millennium A... | computer science |
18,269 | Qualitative Belief Conditioning Rules (QBCR) | cs.AI | In this paper we extend the new family of (quantitative) Belief Conditioning
Rules (BCR) recently developed in the Dezert-Smarandache Theory (DSmT) to their
qualitative counterpart for belief revision. Since the revision of quantitative
as well as qualitative belief assignment given the occurrence of a new event
(the c... | computer science |
18,270 | Using RDF to Model the Structure and Process of Systems | cs.AI | Many systems can be described in terms of networks of discrete elements and
their various relationships to one another. A semantic network, or
multi-relational network, is a directed labeled graph consisting of a
heterogeneous set of entities connected by a heterogeneous set of
relationships. Semantic networks serve as... | computer science |
18,271 | Enrichment of Qualitative Beliefs for Reasoning under Uncertainty | cs.AI | This paper deals with enriched qualitative belief functions for reasoning
under uncertainty and for combining information expressed in natural language
through linguistic labels. In this work, two possible enrichments (quantitative
and/or qualitative) of linguistic labels are considered and operators
(addition, multipl... | computer science |
18,272 | Toward Psycho-robots | cs.AI | We try to perform geometrization of psychology by representing mental states,
<<ideas>>, by points of a metric space, <<mental space>>. Evolution of ideas is
described by dynamical systems in metric mental space. We apply the mental
space approach for modeling of flows of unconscious and conscious information
in the hu... | computer science |
18,273 | Fitness landscape of the cellular automata majority problem: View from
the Olympus | cs.AI | In this paper we study cellular automata (CAs) that perform the computational
Majority task. This task is a good example of what the phenomenon of emergence
in complex systems is. We take an interest in the reasons that make this
particular fitness landscape a difficult one. The first goal is to study the
landscape as ... | computer science |
18,274 | Local search heuristics: Fitness Cloud versus Fitness Landscape | cs.AI | This paper introduces the concept of fitness cloud as an alternative way to
visualize and analyze search spaces than given by the geographic notion of
fitness landscape. It is argued that the fitness cloud concept overcomes
several deficiencies of the landscape representation. Our analysis is based on
the correlation b... | computer science |
18,275 | Measuring the Evolvability Landscape to study Neutrality | cs.AI | This theoretical work defines the measure of autocorrelation of evolvability
in the context of neutral fitness landscape. This measure has been studied on
the classical MAX-SAT problem. This work highlight a new characteristic of
neutral fitness landscapes which allows to design new adapted metaheuristic. | computer science |
18,276 | From Texts to Structured Documents: The Case of Health Practice
Guidelines | cs.AI | This paper describes a system capable of semi-automatically filling an XML
template from free texts in the clinical domain (practice guidelines). The XML
template includes semantic information not explicitly encoded in the text
(pairs of conditions and actions/recommendations). Therefore, there is a need
to compute the... | computer science |
18,277 | Evolving localizations in reaction-diffusion cellular automata | cs.AI | We consider hexagonal cellular automata with immediate cell neighbourhood and
three cell-states. Every cell calculates its next state depending on the
integral representation of states in its neighbourhood, i.e. how many
neighbours are in each one state. We employ evolutionary algorithms to breed
local transition funct... | computer science |
18,278 | Decomposition During Search for Propagation-Based Constraint Solvers | cs.AI | We describe decomposition during search (DDS), an integration of And/Or tree
search into propagation-based constraint solvers. The presented search
algorithm dynamically decomposes sub-problems of a constraint satisfaction
problem into independent partial problems, avoiding redundant work.
The paper discusses how DDS... | computer science |
18,279 | Universal Intelligence: A Definition of Machine Intelligence | cs.AI | A fundamental problem in artificial intelligence is that nobody really knows
what intelligence is. The problem is especially acute when we need to consider
artificial systems which are significantly different to humans. In this paper
we approach this problem in the following way: We take a number of well known
informal... | computer science |
18,280 | Tests of Machine Intelligence | cs.AI | Although the definition and measurement of intelligence is clearly of
fundamental importance to the field of artificial intelligence, no general
survey of definitions and tests of machine intelligence exists. Indeed few
researchers are even aware of alternatives to the Turing test and its many
derivatives. In this pape... | computer science |
18,281 | Convergence of Expected Utilities with Algorithmic Probability
Distributions | cs.AI | We consider an agent interacting with an unknown environment. The environment
is a function which maps natural numbers to natural numbers; the agent's set of
hypotheses about the environment contains all such functions which are
computable and compatible with a finite set of known input-output pairs, and
the agent assi... | computer science |
18,282 | Le terme et le concept : fondements d'une ontoterminologie | cs.AI | Most definitions of ontology, viewed as a "specification of a
conceptualization", agree on the fact that if an ontology can take different
forms, it necessarily includes a vocabulary of terms and some specification of
their meaning in relation to the domain's conceptualization. And as domain
knowledge is mainly conveye... | computer science |
18,283 | Stream Computing | cs.AI | Stream computing is the use of multiple autonomic and parallel modules
together with integrative processors at a higher level of abstraction to embody
"intelligent" processing. The biological basis of this computing is sketched
and the matter of learning is examined. | computer science |
18,284 | Anisotropic selection in cellular genetic algorithms | cs.AI | In this paper we introduce a new selection scheme in cellular genetic
algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows
accurate control of the selective pressure. First we compare this new scheme
with the classical rectangular grid shapes solution according to the selective
pressure: we can o... | computer science |
18,285 | Application of Rough Set Theory to Analysis of Hydrocyclone Operation | cs.AI | This paper describes application of rough set theory, on the analysis of
hydrocyclone operation. In this manner, using Self Organizing Map (SOM) as
preprocessing step, best crisp granules of data are obtained. Then, using a
combining of SOM and rough set theory (RST)-called SORST-, the dominant rules
on the information... | computer science |
18,286 | Agent-Based Perception of an Environment in an Emergency Situation | cs.AI | We are interested in the problem of multiagent systems development for risk
detecting and emergency response in an uncertain and partially perceived
environment. The evaluation of the current situation passes by three stages
inside the multiagent system. In a first time, the situation is represented in
a dynamic way. T... | computer science |
18,287 | On the Influence of Selection Operators on Performances in Cellular
Genetic Algorithms | cs.AI | In this paper, we study the influence of the selective pressure on the
performance of cellular genetic algorithms. Cellular genetic algorithms are
genetic algorithms where the population is embedded on a toroidal grid. This
structure makes the propagation of the best so far individual slow down, and
allows to keep in t... | computer science |
18,288 | Geometric Data Analysis, From Correspondence Analysis to Structured Data
Analysis (book review) | cs.AI | Review of: Brigitte Le Roux and Henry Rouanet, Geometric Data Analysis, From
Correspondence Analysis to Structured Data Analysis, Kluwer, Dordrecht, 2004,
xi+475 pp. | computer science |
18,289 | Phase transition in SONFIS&SORST | cs.AI | In this study, we introduce general frame of MAny Connected Intelligent
Particles Systems (MACIPS). Connections and interconnections between particles
get a complex behavior of such merely simple system (system in
system).Contribution of natural computing, under information granulation
theory, are the main topics of th... | computer science |
18,290 | Adaptive Affinity Propagation Clustering | cs.AI | Affinity propagation clustering (AP) has two limitations: it is hard to know
what value of parameter 'preference' can yield an optimal clustering solution,
and oscillations cannot be eliminated automatically if occur. The adaptive AP
method is proposed to overcome these limitations, including adaptive scanning
of prefe... | computer science |
18,291 | Assessment of effective parameters on dilution using approximate
reasoning methods in longwall mining method, Iran coal mines | cs.AI | Approximately more than 90% of all coal production in Iranian underground
mines is derived directly longwall mining method. Out of seam dilution is one
of the essential problems in these mines. Therefore the dilution can impose the
additional cost of mining and milling. As a result, recognition of the
effective paramet... | computer science |
18,292 | Toward Fuzzy block theory | cs.AI | This study, fundamentals of fuzzy block theory, and its application in
assessment of stability in underground openings, has surveyed. Using fuzzy
topics and inserting them in to key block theory, in two ways, fundamentals of
fuzzy block theory has been presented. In indirect combining, by coupling of
adaptive Neuro Fuz... | computer science |
18,293 | Analysis of hydrocyclone performance based on information granulation
theory | cs.AI | This paper describes application of information granulation theory, on the
analysis of hydrocyclone perforamance. In this manner, using a combining of
Self Organizing Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and
fuzzy granules are obtained(briefly called SONFIS). Balancing of crisp granules
and sub fuzz... | computer science |
18,294 | Logic programming with social features | cs.AI | In everyday life it happens that a person has to reason about what other
people think and how they behave, in order to achieve his goals. In other
words, an individual may be required to adapt his behaviour by reasoning about
the others' mental state. In this paper we focus on a knowledge representation
language derive... | computer science |
18,295 | Constructing Folksonomies from User-specified Relations on Flickr | cs.AI | Many social Web sites allow users to publish content and annotate with
descriptive metadata. In addition to flat tags, some social Web sites have
recently began to allow users to organize their content and metadata
hierarchically. The social photosharing site Flickr, for example, allows users
to group related photos in... | computer science |
18,296 | The Structure of Narrative: the Case of Film Scripts | cs.AI | We analyze the style and structure of story narrative using the case of film
scripts. The practical importance of this is noted, especially the need to have
support tools for television movie writing. We use the Casablanca film script,
and scripts from six episodes of CSI (Crime Scene Investigation). For analysis
of st... | computer science |
18,297 | Feature Selection for Bayesian Evaluation of Trauma Death Risk | cs.AI | In the last year more than 70,000 people have been brought to the UK
hospitals with serious injuries. Each time a clinician has to urgently take a
patient through a screening procedure to make a reliable decision on the trauma
treatment. Typically, such procedure comprises around 20 tests; however the
condition of a tr... | computer science |
18,298 | Fusion for Evaluation of Image Classification in Uncertain Environments | cs.AI | We present in this article a new evaluation method for classification and
segmentation of textured images in uncertain environments. In uncertain
environments, real classes and boundaries are known with only a partial
certainty given by the experts. Most of the time, in many presented papers,
only classification or onl... | computer science |
18,299 | Intuitive visualization of the intelligence for the run-down of
terrorist wire-pullers | cs.AI | The investigation of the terrorist attack is a time-critical task. The
investigators have a limited time window to diagnose the organizational
background of the terrorists, to run down and arrest the wire-pullers, and to
take an action to prevent or eradicate the terrorist attack. The intuitive
interface to visualize t... | computer science |
18,300 | Rock mechanics modeling based on soft granulation theory | cs.AI | This paper describes application of information granulation theory, on the
design of rock engineering flowcharts. Firstly, an overall flowchart, based on
information granulation theory has been highlighted. Information granulation
theory, in crisp (non-fuzzy) or fuzzy format, can take into account engineering
experienc... | computer science |
18,301 | An Ontology-based Knowledge Management System for Industry Clusters | cs.AI | Knowledge-based economy forces companies in the nation to group together as a
cluster in order to maintain their competitiveness in the world market. The
cluster development relies on two key success factors which are knowledge
sharing and collaboration between the actors in the cluster. Thus, our study
tries to propos... | computer science |
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