In this contribution we aim at anchoring Agent-Based Modeling (ABM) simulations in actual models ... more In this contribution we aim at anchoring Agent-Based Modeling (ABM) simulations in actual models of human psychology. More specifically, we apply unidirectional ABM to social psychological models using low level agents (i.e., intra-individual) to examine whether they generate better predictions, in comparison to standard statistical approaches, concerning the intentions of performing a behavior and the behavior. Moreover, this contribution tests
Understanding the drivers for consumer behavior and the underlying mechanisms of market dynamics ... more Understanding the drivers for consumer behavior and the underlying mechanisms of market dynamics is of key importance to marketing practitioners, market strategists and competition and regulatory bodies. Furthermore the cross-disciplinary nature of this area has attracted the interest of researchers in diverse fields such as economists, social scientists, psychologists and computational scientists. Marketers usually ask questions like “What are the chances for success when a new product is launched (e.g. brand extension)?” or “How does word-of-mouth affect sales and the long-term prospects of a brand?” To answer these questions, traditional marketing models, based on equilibrium statistics and macro variables such as market share and price elasticity, have usually been employed with limited success. As a powerful computational method, agent based modeling has the potential to address many of the shortcomings of traditional techniques. Specifically, ABM (i) allows the dynamic nature ...
Scale has long been a fundamental concept in geography. Its importance is emphasised in geographi... more Scale has long been a fundamental concept in geography. Its importance is emphasised in geographical information science (GIScience) where the computational domain necessitates the rigorous definition and handling of scale. Geographical information systems are now used in almost every walk of life, but scale is often handled poorly in such systems. Modelling Scale in Geographical Information Science is written by an international team of contributors drawn from both industry and academia, and considers models and methods of scaling spatial data in both human and physical systems.
Licences for Third Generation Mobile (3GM) spectrum have been auctioned in the UK and other count... more Licences for Third Generation Mobile (3GM) spectrum have been auctioned in the UK and other countries around the world. An understanding of the dynamics of the auction design used, and the likely strategies which bidders might have to adopt, was of vital importance to telecom operators who wished to win a licence in these spectrum auctions. There is also increasing interest in auctions in general, born out of the burgeoning Internet-based auction business and the potential use of auctions to sell telecoms bandwidth on the wholesale and even retail markets. Research into auction theory will therefore be of increasing importance to providers of telecommunication services. The UK 3GM Auction used a structure based on simultaneous compulsory bidding in a form of multi-unit ascending auction. The structure is based upon the type of auction used successfully by the US Federal Communications Commission in selling radio spectrum in the United States, but introduces a number of new features ...
In this paper we investigate different learning schemes in dynamic game theory and consider their... more In this paper we investigate different learning schemes in dynamic game theory and consider their relative importance when constructing strategic decision models for economic and business applications. The different models of learning dynamics we have formulated fall into three main categories: repeated games, discrete-time replicator games and discrete-time best-response games. Repeated games are a basic repetition of one-shot games, replicator games are inspired from applications of EGT to evolutionary biology, and best-response games combine to some extent many of the desirable properties of evolutionary learning with a more realistic economic interpretation of the decision making process. In all three approaches, the models are considered in their basic deterministic form as well as when stochastic behaviour and the effects of a variable memory of past moves and discounting are included. As a specific example, we run computer simulations of a simplified market-entry model in the...
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 1994
In this paper, a general formulation for a model of market-based agent-resource systems is propos... more In this paper, a general formulation for a model of market-based agent-resource systems is proposed, building on the computational ecosystem model of Huberman and Hogg [in The Ecology of Computation, edited by B. A. Huberman (North-Holland, Amsterdam, 1988)]. Our approach, based on one-step Markov processes and Van Kampen's large-system-size expansion, allows the effects of fluctuations to be explored, particularly in
In this contribution we aim at anchoring Agent-Based Modeling (ABM) simulations in actual models ... more In this contribution we aim at anchoring Agent-Based Modeling (ABM) simulations in actual models of human psychology. More specifically, we apply unidirectional ABM to social psychological models using low level agents (i.e., intra-individual) to examine whether they generate better predictions, in comparison to standard statistical approaches, concerning the intentions of performing a behavior and the behavior. Moreover, this contribution tests
Understanding the drivers for consumer behavior and the underlying mechanisms of market dynamics ... more Understanding the drivers for consumer behavior and the underlying mechanisms of market dynamics is of key importance to marketing practitioners, market strategists and competition and regulatory bodies. Furthermore the cross-disciplinary nature of this area has attracted the interest of researchers in diverse fields such as economists, social scientists, psychologists and computational scientists. Marketers usually ask questions like “What are the chances for success when a new product is launched (e.g. brand extension)?” or “How does word-of-mouth affect sales and the long-term prospects of a brand?” To answer these questions, traditional marketing models, based on equilibrium statistics and macro variables such as market share and price elasticity, have usually been employed with limited success. As a powerful computational method, agent based modeling has the potential to address many of the shortcomings of traditional techniques. Specifically, ABM (i) allows the dynamic nature ...
Scale has long been a fundamental concept in geography. Its importance is emphasised in geographi... more Scale has long been a fundamental concept in geography. Its importance is emphasised in geographical information science (GIScience) where the computational domain necessitates the rigorous definition and handling of scale. Geographical information systems are now used in almost every walk of life, but scale is often handled poorly in such systems. Modelling Scale in Geographical Information Science is written by an international team of contributors drawn from both industry and academia, and considers models and methods of scaling spatial data in both human and physical systems.
Licences for Third Generation Mobile (3GM) spectrum have been auctioned in the UK and other count... more Licences for Third Generation Mobile (3GM) spectrum have been auctioned in the UK and other countries around the world. An understanding of the dynamics of the auction design used, and the likely strategies which bidders might have to adopt, was of vital importance to telecom operators who wished to win a licence in these spectrum auctions. There is also increasing interest in auctions in general, born out of the burgeoning Internet-based auction business and the potential use of auctions to sell telecoms bandwidth on the wholesale and even retail markets. Research into auction theory will therefore be of increasing importance to providers of telecommunication services. The UK 3GM Auction used a structure based on simultaneous compulsory bidding in a form of multi-unit ascending auction. The structure is based upon the type of auction used successfully by the US Federal Communications Commission in selling radio spectrum in the United States, but introduces a number of new features ...
In this paper we investigate different learning schemes in dynamic game theory and consider their... more In this paper we investigate different learning schemes in dynamic game theory and consider their relative importance when constructing strategic decision models for economic and business applications. The different models of learning dynamics we have formulated fall into three main categories: repeated games, discrete-time replicator games and discrete-time best-response games. Repeated games are a basic repetition of one-shot games, replicator games are inspired from applications of EGT to evolutionary biology, and best-response games combine to some extent many of the desirable properties of evolutionary learning with a more realistic economic interpretation of the decision making process. In all three approaches, the models are considered in their basic deterministic form as well as when stochastic behaviour and the effects of a variable memory of past moves and discounting are included. As a specific example, we run computer simulations of a simplified market-entry model in the...
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 1994
In this paper, a general formulation for a model of market-based agent-resource systems is propos... more In this paper, a general formulation for a model of market-based agent-resource systems is proposed, building on the computational ecosystem model of Huberman and Hogg [in The Ecology of Computation, edited by B. A. Huberman (North-Holland, Amsterdam, 1988)]. Our approach, based on one-step Markov processes and Van Kampen's large-system-size expansion, allows the effects of fluctuations to be explored, particularly in
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