NDLI: Reasoning based on categorisation for interpreting and acting: a first approach

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Reasoning based on categorisation for interpreting and acting: a first approach

Content Provider	Springer Nature Link
Author	Zibetti, Elisabetta Quera, Vicenç Tijus, Charles Beltran, Francesc Salvador
Copyright Year	2001
Abstract	Taking a detour to reach a goal is intelligent behavior based on making inferences. The main purpose of the present research is to show how such apparently complex behavior can emerge from basic mechanisms such as contextual categorisation and goal attribution when perceiving people. We presentacacia (Action by Contextually Automated Categorising Interactive Agents), a computer model implemented using StarLogo software, grounded in the principles of Artificial Life (Al), capable of simulating the behavior of a group of agents with a goal (for instance, to find a “treasure” in a “treasure hunt”) in an environment where obstacles mask the goal site. The results of the simulations show that agents reach the goal the fastest when they follow each other and take detours. We argue that these results indicate that intelligent adaptive behavior is based on the contextual categorisation of environmental constrainst (that is, obstacles and other agents).
Starting Page	87
Ending Page	104
Page Count	18
File Format	PDF
ISSN	15937879
Journal	Mind & Society
Volume Number	2
Issue Number	2
e-ISSN	18601839
Language	English
Publisher	Springer-Verlag
Publisher Date	2001-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Reasoning about action and perception contextual categorization adaptive behavior Philosophy of Science Economics general Methodology of the Social Sciences Sociology Cognitive Psychology
Content Type	Text
Resource Type	Article
Subject	Philosophy Sociology and Political Science Experimental and Cognitive Psychology History Economics, Econometrics and Finance Social Psychology Cultural Studies

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