Search results for "Knowledge based systems"
showing 10 items of 29 documents
Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters
2010
Published version of an article from Lecture Notes in Computer Science. Also available at SpringerLink: http://dx.doi.org/10.1007/978-3-642-13033-5_21 The multi-armed bandit problem is a classical optimization problem where an agent sequentially pulls one of multiple arms attached to a gambling machine, with each pull resulting in a random reward. The reward distributions are unknown, and thus, one must balance between exploiting existing knowledge about the arms, and obtaining new information. Dynamically changing (non-stationary) bandit problems are particularly challenging because each change of the reward distributions may progressively degrade the performance of any fixed strategy. Alt…
Rule based reasoning for network management
2006
This paper focuses on improving network management by the adoption of artificial intelligence techniques. We propose a distributed multi-agent architecture for network management, where a logical reasoner acts as a managing entity capable of directing, coordinating, and triggering monitoring and management actions in the proposed architecture. The logical inference system has been devised to enable automated isolation, diagnosis, and to repair network anomalies, thus enhancing the reliability, performance, and security of the network. The measurements of network events are captured by programmable sensors deployed on the network devices and are collected by the network management entity whe…
Modeling and Verification of Symbolic Distributed Applications Through an Intelligent Monitoring Agent
2022
Wireless Sensor Networks (WSNs) represent a key component in emerging distributed computing paradigms such as IoT, Ambient Intelligence, and Smart Cities. In these contexts, the difficulty of testing, verifying, and monitoring applications in their intended scenarios ranges from challenging to impractical. Current simulators can only be used to investigate correctness at source code level and with limited accuracy. This paper proposes a system and a methodology to model and verify symbolic distributed applications running on WSNs. The approach allows to complement the distributed application code at a high level of abstraction in order to test and reprogram it, directly, on deployed network…
On achieving near-optimal “Anti-Bayesian” Order Statistics-Based classification fora asymmetric exponential distributions
2013
Published version of a Chapter in the book: Computer Analysis of Images and Patterns. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-40261-6_44 This paper considers the use of Order Statistics (OS) in the theory of Pattern Recognition (PR). The pioneering work on using OS for classification was presented in [1] for the Uniform distribution, where it was shown that optimal PR can be achieved in a counter-intuitive manner, diametrically opposed to the Bayesian paradigm, i.e., by comparing the testing sample to a few samples distant from the mean - which is distinct from the optimal Bayesian paradigm. In [2], we showed that the results could be extended for a few sym…
A new frontier in novelty detection: Pattern recognition of stochastically episodic events
2011
Published version of an article from the book: Intelligent Information and Database Systems, Lecture Notes in Computer Science. Also available from the publisher on SpringerLink:http://dx.doi.org/10.1007/978-3-642-20039-7_44 A particularly challenging class of PR problems in which the, generally required, representative set of data drawn from the second class is unavailable, has recently received much consideration under the guise of One-Class (OC) classification. In this paper, we extend the frontiers of OC classification by the introduction of a new field of problems open for analysis. In particular, we note that this new realm deviates from the standard set of OC problems based on the fo…
Using artificial intelligence techniques for strategy generation in the Commons game
2011
Published version of a chapter in the book: Hybrid Artificial Intelligent Systems. Also available from the publisher on SpringerLink: http://dx.doi.org/10.1007/978-3-642-21219-2_7 In this paper, we consider the use of artificial intelligence techniques to aid in discovery of winning strategies for the Commons Game (CG). The game represents a common scenario in which multiple parties share the use of a self-replenishing resource. The resource deteriorates quickly if used indiscriminately. If used responsibly, however, the resource thrives. We consider the scenario one player uses hill climbing or particle swarm optimization to select the course of action, while the remaining N − 1 players us…
Automatic Categorization of Web Sites
2008
Masteroppgave i informasjons- og kommunikasjonsteknologi 2008 – Universitetet i Agder, Grimstad In this thesis we have presented a solution to classify websites into geographical attribute code (NUTS) and economical activities attribute codes(NACE). We propose a solution for web site classification with high accuracy. We use keywordbased document classification methods which had shown good performance. After classification, each document is assigned a class label from a set of predefined categories, which is based on a pool of pre-classified sample documents. Our solution includes to remove stop words and skip html tags, which identify the informative term, remove the non-informative or red…
Finding Optimal Rush Attacks in Real Time Strategy (RTS) Games
2008
Masteroppgave i informasjons- og kommunikasjonsteknologi 2008 – Universitetet i Agder, Grimstad What will you fell when play with an unchangeable AI in RTS game? Of cause, it is boring. You can beat them easily and that’s no fun. In this research, we will try to design an AI with learning-ability and return the fun to players. We firstly abstract a simple AI mode, and then implement a suitable learning method . Due to some developing problems, we simulate the system (ORTS). Finally, we establish a new learning system for RTS AI. It’s an advanced point system based on the conception of the evaluation system in commercial RTS game . Decision making processes could depend on the points of each…
Hvorfor har det vist seg så komplisert å etablere informasjonsportaler i akademiske institusjoner : casestudie fra Handelshøjskolen i København og Un…
2008
Masteroppgave i informasjonssystemer - Universitetet i Agder 2008 Da prosjektene jeg har undersøkt ble påbegynt i 2003 var dette helt i starten på en bølge systemer som ble kalt Content Management Systems (CMS). Disse systemene skulle ta over og løse mange av de problemene som tradisjonelle filstrukturbaserte nettsteder hadde og har hatt siden tidlig på 1990 tallet. På den samme tiden var det liten erfaring fra andre implementasjoner som en kunne støtte seg på. Det var heller ikke gjort mye forskning på området da en ikke hadde tilgang til empiriske data (Nordheim 2004) som kunne forklare hva det innebar å etablere CMS løsninger. I dag begynner det å komme rapporterte erfaringer og det er t…
Brukerstøtte for programvare ved store og mellomstore bedrifter
2008
Masteroppgave i informasjonssystemer - Universitetet i Agder 2008 Formålet med denne oppgaven er å kaste lys over hvordan organisering av programvaresupport og brukerstøtte kan håndteres, samt bakgrunnen for denne organiseringen – uavhengig om den er et ledd i en formell supportplan eller uformelle vaner som har utviklet seg til de facto rutiner. Vi har også, noe overfladisk, sett dette i forhold til andre virksomhetsspesifikke forhold. Datainnsamlingen har fulgt en kvalitativ metode, og vi har gjennomført fem intervjuer med fire forskjellige virksomheter. Ellers har vi også brukt egne erfaringer i en av virksomhetene vi har arbeidet mot. Virksomhetene ble valgt etter et ønske om å få et vi…