Representations of complexity: How nature appears in our theories

被引:0
作者
J. J. McDowell
机构
[1] Emory University,Department of Psychology
来源
The Behavior Analyst | 2013年 / 36卷
关键词
behavior dynamics; cellular automata; complexity theory; emergence; evolutionary theory; neural networks;
D O I
暂无
中图分类号
学科分类号
摘要
In science we study processes in the material world. The way these processes operate can be discovered by conducting experiments that activate them, and findings from such experiments can lead to functional complexity theories of how the material processes work. The results of a good functional theory will agree with experimental measurements, but the theory may not incorporate in its algorithmic workings a representation of the material processes themselves. Nevertheless, the algorithmic operation of a good functional theory may be said to make contact with material reality by incorporating the emergent computations the material processes carry out. These points are illustrated in the experimental analysis of behavior by considering an evolutionary theory of behavior dynamics, the algorithmic operation of which does not correspond to material features of the physical world, but the functional output of which agrees quantitatively and qualitatively with findings from a large body of research with live organisms.
引用
收藏
页码:345 / 359
页数:14
相关论文
共 51 条
[1]  
Baghramian M(2008)“From realism back to realism”: Putnam’s long journey Philosophical Topics 36 17-35
[2]  
Baum W M(1969)Choice as time allocation Journal of the Experimental Analysis of Behavior 12 861-874
[3]  
Rachlin H C(2011)Testing the linearity and independence assumptions of the generalized matching law for reinforcer magnitude: A residual meta-analysis Behavioural Processes 87 64-70
[4]  
Cording J R(2000)Choice in a variable environment: Every reinforcer counts Journal of the Experimental Analysis of Behavior 74 1-24
[5]  
McLean A P(1999)Edward L. Thorndike: The Journal of the Experimental Analysis of Behavior 72 451-454
[6]  
Grace R C(1993) connectionist Journal of the Experimental Analysis of Behavior 60 17-40
[7]  
Davison M(1997)A selectionist approach to reinforcement Learning and Complex Behavior. Journal of the Experimental Analysis of Behavior 67 193-211
[8]  
Baum W M(2003)The S-R issue: Its status in behavior analysis and in Donahoe and Palmer’s Review of General Psychology 7 150-182
[9]  
Donahoe J W(1989)The tree of knowledge system and the theoretical unification of psychology Journal of the Experimental Analysis of Behavior 52 427-440
[10]  
Donahoe J W(2008)Connectionist models of conditioning: A tutorial Behavioural Processes 78 291-296