Cooperative Agents: Applications in the Social Sciences
Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition th...
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Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Dordrecht
Springer Netherlands
2001
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Ausgabe: | 1st ed. 2001 |
Schriftenreihe: | Theory and Decision Library A:, Rational Choice in Practical Philosophy and Philosophy of Science
32 |
Schlagworte: | |
Online-Zugang: | UBY01 URL des Eerstveröffentlichers |
Zusammenfassung: | Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition that are central to human society. However, there are important questions to be asked and difficulties to overcome in achieving this potential. What differentiates agent-based modelling from traditional computer modelling? Which model types should be used under which circumstances? If it is appropriate to use a complex model, how can it be validated? Is social simulation research to adopt a realist epistemology, or can it operate within a social constructionist framework? What are the sociological concepts of norms and norm processing that could either be used for planned implementation or for identifying equivalents of social norms among co-operative agents? Can sustainability be achieved more easily in a hierarchical agent society than in a society of isolated agents? What examples are there of hybrid forms of interaction between humans and artificial agents? These are some of the sociological questions that are addressed |
Beschreibung: | 1 Online-Ressource (VII, 216 p) |
ISBN: | 9789401711777 |
DOI: | 10.1007/978-94-017-1177-7 |
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520 | |a Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition that are central to human society. However, there are important questions to be asked and difficulties to overcome in achieving this potential. What differentiates agent-based modelling from traditional computer modelling? Which model types should be used under which circumstances? If it is appropriate to use a complex model, how can it be validated? Is social simulation research to adopt a realist epistemology, or can it operate within a social constructionist framework? What are the sociological concepts of norms and norm processing that could either be used for planned implementation or for identifying equivalents of social norms among co-operative agents? Can sustainability be achieved more easily in a hierarchical agent society than in a society of isolated agents? What examples are there of hybrid forms of interaction between humans and artificial agents? These are some of the sociological questions that are addressed | ||
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dewey-full | 003.3 |
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discipline_str_mv | Informatik Soziologie |
doi_str_mv | 10.1007/978-94-017-1177-7 |
edition | 1st ed. 2001 |
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spelling | Cooperative Agents Applications in the Social Sciences edited by N.J. Saam, B. Schmidt 1st ed. 2001 Dordrecht Springer Netherlands 2001 1 Online-Ressource (VII, 216 p) txt rdacontent c rdamedia cr rdacarrier Theory and Decision Library A:, Rational Choice in Practical Philosophy and Philosophy of Science 32 Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition that are central to human society. However, there are important questions to be asked and difficulties to overcome in achieving this potential. What differentiates agent-based modelling from traditional computer modelling? Which model types should be used under which circumstances? If it is appropriate to use a complex model, how can it be validated? Is social simulation research to adopt a realist epistemology, or can it operate within a social constructionist framework? What are the sociological concepts of norms and norm processing that could either be used for planned implementation or for identifying equivalents of social norms among co-operative agents? Can sustainability be achieved more easily in a hierarchical agent society than in a society of isolated agents? What examples are there of hybrid forms of interaction between humans and artificial agents? These are some of the sociological questions that are addressed Simulation and Modeling Artificial Intelligence Systems Theory, Control Sociology, general Personality and Social Psychology Computer simulation Artificial intelligence System theory Sociology Personality Social psychology Computersimulation (DE-588)4148259-1 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Sozialwissenschaften (DE-588)4055916-6 s Computersimulation (DE-588)4148259-1 s DE-604 Saam, N.J. edt Schmidt, B. edt Erscheint auch als Druck-Ausgabe 9789048159024 Erscheint auch als Druck-Ausgabe 9781402001901 Erscheint auch als Druck-Ausgabe 9789401711784 https://doi.org/10.1007/978-94-017-1177-7 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | Cooperative Agents Applications in the Social Sciences Simulation and Modeling Artificial Intelligence Systems Theory, Control Sociology, general Personality and Social Psychology Computer simulation Artificial intelligence System theory Sociology Personality Social psychology Computersimulation (DE-588)4148259-1 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
subject_GND | (DE-588)4148259-1 (DE-588)4055916-6 (DE-588)4143413-4 |
title | Cooperative Agents Applications in the Social Sciences |
title_auth | Cooperative Agents Applications in the Social Sciences |
title_exact_search | Cooperative Agents Applications in the Social Sciences |
title_exact_search_txtP | Cooperative Agents Applications in the Social Sciences |
title_full | Cooperative Agents Applications in the Social Sciences edited by N.J. Saam, B. Schmidt |
title_fullStr | Cooperative Agents Applications in the Social Sciences edited by N.J. Saam, B. Schmidt |
title_full_unstemmed | Cooperative Agents Applications in the Social Sciences edited by N.J. Saam, B. Schmidt |
title_short | Cooperative Agents |
title_sort | cooperative agents applications in the social sciences |
title_sub | Applications in the Social Sciences |
topic | Simulation and Modeling Artificial Intelligence Systems Theory, Control Sociology, general Personality and Social Psychology Computer simulation Artificial intelligence System theory Sociology Personality Social psychology Computersimulation (DE-588)4148259-1 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
topic_facet | Simulation and Modeling Artificial Intelligence Systems Theory, Control Sociology, general Personality and Social Psychology Computer simulation Artificial intelligence System theory Sociology Personality Social psychology Computersimulation Sozialwissenschaften Aufsatzsammlung |
url | https://doi.org/10.1007/978-94-017-1177-7 |
work_keys_str_mv | AT saamnj cooperativeagentsapplicationsinthesocialsciences AT schmidtb cooperativeagentsapplicationsinthesocialsciences |