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  • Search: subject:"Classifier Systems"
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Year of publication
Subject
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genetic algorithms 4 Classifier systems 3 Learning 3 learning classifier systems 3 Classifier Systems 2 Dynamic programming 2 (English) 1 Artificial Intelligence 1 Artificial Worlds 1 Dynamic optimization 1 Economic simulation 1 Economics and Social Sciences 1 Efficient Market Hypothesis 1 Endogenous Growth 1 Evolutionary Theory 1 Faculty of Business 1 High-Frequency Finance 1 Human Capital 1 Imitation 1 Industrial Engineering 1 Kiyotaki­Wright model of money 1 Microsimulation 1 Models and algorithms for effective decision-making in a data-driven environment are discussed. To enhance the quality of the extracted knowledge and decision-making 1 Piecewise Linear Approximation 1 SWA 1 Sustainability 1 Technical Analysis 1 Technological Change 1 Tick-by-Tick Stock Prices 1 Time Series Homogenization 1 Tokyo Stock Exchange 1 Transaction Costs 1 Wirtschafts- und Sozialwissenschaftliche Fakultät 1 a subset of rules is selected from the extracted knowledge to meet the established decision-making criteria. The parameter values represented by the conditions of this set of rules are called a decision signature. A model and algorithms for the selection of the desired parameters (decision signatures) will be developed. The parameters of this model are updated using a framework provided by the learning classifier systems 1 adaptive systems modelling 1 agent based models 1 and the parameters optimizing process performance are recommended. The applications discussed in this paper differ from most data mining tasks 1 artificial adaptive agents 1 artificial markets 1 classifier systems 1
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Online availability
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Free 11
Type of publication
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Book / Working Paper 6 Article 3 Other 2
Language
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Undetermined 10 English 1
Author
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Basci, Erdem 3 Fent, Thomas 3 Orhan, Mehmet 2 Ballot, Gérard 1 Galimberti, Jaqueson K. 1 Kusiak, Andrew 1 Sapienza, Massimo 1 Silva, Sergio da 1 Taymaz, Erol 1 Timur Yusupov 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 3 İktisat Bölümü, Bilkent Üniversitesi 3
Published in...
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MPRA Paper 3 Departmental Working Papers / İktisat Bölümü, Bilkent Üniversitesi 2 Journal of Artificial Societies and Social Simulation 2 Economics Bulletin 1 Working Papers / İktisat Bölümü, Bilkent Üniversitesi 1
Source
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RePEc 9 BASE 2
Showing 1 - 10 of 11
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An empirical case against the use of genetic-based learning classifier systems as forecasting devices
Galimberti, Jaqueson K.; Silva, Sergio da - In: Economics Bulletin 32 (2012) 1, pp. 354-369
classifier systems to represent agents process of expectations formation, an approach commonly found into the agent …
Persistent link: https://www.econbiz.de/10011278532
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The efficient market hypothesis through the eyes of an artificial technical analyst
Timur Yusupov - 2007
The academic literature has been reluctant to accept technical analysis as a rational strategy of traders in financial markets. In practice traders and analysts heavily use technical analysis to make investment decisions. To resolve this incongruence the aim of this study is to translate...
Persistent link: https://www.econbiz.de/10009428999
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Do Real Options Perform Better Than Net Present Value? Testing in an Artificial Financial Market
Sapienza, Massimo - In: Journal of Artificial Societies and Social Simulation 6 (2003) 3, pp. 4-4
This paper contains an investigation on a particular kind of non-linear rational expectations equilibrium in financial markets. By adopting an agent based computational finance (ACF) paradigm we will analyze whether using real options theory in financial markets is useful. Do agents who...
Persistent link: https://www.econbiz.de/10005518654
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Data mining and decision making
Kusiak, Andrew - 2002
provided by the learning classifier systems. …
Persistent link: https://www.econbiz.de/10009466041
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Wissen gewinnen und gewinnen durch Wissen
Fent, Thomas - Volkswirtschaftliche Fakultät, … - 2000
According to Alfred Korzybski (1921) humans unlike plants and animals have the property to bind time, i.e. they are able to transfer experience through time. Humans are capable to collenct knowledge from the past and communicate their knowledge to the future. This paper investigates the...
Persistent link: https://www.econbiz.de/10005623357
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Technological Change, Learning and Macro-Economic Coordination: an Evolutionary Model
Ballot, Gérard; Taymaz, Erol - In: Journal of Artificial Societies and Social Simulation 2 (1999) 2, pp. 3-3
The purpose of the paper is to model the process of rule generation by firms that must allocate their resources between physical assets, training, and R&D, and to study the microeconomic performances as well as the aggregate outcomes. The framework is a complete micro-macroeconomic...
Persistent link: https://www.econbiz.de/10005518560
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Reinforcement Learning and Dynamic Optimization
Basci, Erdem; Orhan, Mehmet - İktisat Bölümü, Bilkent Üniversitesi - 1999
Persistent link: https://www.econbiz.de/10011211310
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Adaptive agents in the House of Quality
Fent, Thomas - Volkswirtschaftliche Fakultät, … - 1999
makers are implemented as Classifier Systems, and their learning process is simulated by Genetic Algorithms. To validate the …
Persistent link: https://www.econbiz.de/10005623274
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Using Genetics Based Machine Learning to find Strategies for Product Placement in a dynamic Market
Fent, Thomas - Volkswirtschaftliche Fakultät, … - 1999
In this paper we discuss the necessity of models including complex adaptive systems in order to eliminate the shortcomings of neoclassical models based on equilibrium theory. A simulation model containing artificial adaptive agents is used to explore the dynamics of a market of highly...
Persistent link: https://www.econbiz.de/10005789342
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Reinforcement Learning and Dynamic Optimization
Basci, Erdem; Orhan, Mehmet - İktisat Bölümü, Bilkent Üniversitesi - 1999
Persistent link: https://www.econbiz.de/10005212507
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