This paper is a further attempt to apply Artificial Adaptive Systems to the analysis of complex natural and cultural phenomena through the lens of Analytical Archaeology. These phenomena are essentially understood to be the product of cognitive behaviour, in other words aspects, models and ideal types which represent it and can be analysed on a formal logical level. This introductory exploration leads to a strong syntactic diversification of logical inferences and a progressive human attempt to trace them back to the simulation of cognitive complexity. Artificial Adaptive Systems, as mathematical tools which express these emulative properties, are historiographically animated in the connectionist reaction to behaviourism and therefore effectively shape the social sciences’ attempts to ascribe the complexities developed by our brains to advanced, non-linear and dynamic computational models.
Logic and Semantics of Computational Models for the Analysis of Complex Phenomena. Analytical Archaeology of Artificial Adaptive Systems / Ramazzotti, Marco. - ELETTRONICO. - 5(2013), pp. 23-56. [10.13133/978-88-98533-01-5].
Logic and Semantics of Computational Models for the Analysis of Complex Phenomena. Analytical Archaeology of Artificial Adaptive Systems
RAMAZZOTTI, Marco
2013
Abstract
This paper is a further attempt to apply Artificial Adaptive Systems to the analysis of complex natural and cultural phenomena through the lens of Analytical Archaeology. These phenomena are essentially understood to be the product of cognitive behaviour, in other words aspects, models and ideal types which represent it and can be analysed on a formal logical level. This introductory exploration leads to a strong syntactic diversification of logical inferences and a progressive human attempt to trace them back to the simulation of cognitive complexity. Artificial Adaptive Systems, as mathematical tools which express these emulative properties, are historiographically animated in the connectionist reaction to behaviourism and therefore effectively shape the social sciences’ attempts to ascribe the complexities developed by our brains to advanced, non-linear and dynamic computational models.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.