Cogn Neuropsychol. 2000 Jun 1;17(4):297-338. doi: 10.1080/026432900380427.
The control of routine action is a complex process subject both to minor lapses in normals and to more severe breakdown following certain forms of neurological damage. A number of recent empirical studies (e.g. Humphreys & Ford, 1998; Schwartz et al., 1991, 1995, 1998) have examined the details of breakdown in certain classes of patient, and attempted to relate the findings to existing psychological theory. This paper complements those studies by presenting a computational model of the selection of routine actions based on competitive activation within a hierarchically organised network of action schemas (cf. Norman & Shallice, 1980, 1986). Simulations are reported which demonstrate that the model is capable of organised sequential action selection in a complex naturalistic domain. It is further demonstrated that, after lesioning, the model exhibits behaviour qualitatively equivalent to that observed by Schwartz et al., in their action disorganisation syndrome patients.
常规行为的控制是一个复杂的过程，既受到正常情况下的小失误的影响，也受到某些形式的神经损伤后更严重的故障的影响。最近的一些实证研究（例如 Humphreys & Ford, 1998; Schwartz 等人, 1991, 1995, 1998）已经研究了某些类型患者的故障细节，并试图将研究结果与现有心理学理论联系起来。本文通过基于动作模式层次组织网络中的竞争激活来选择常规动作的计算模型来补充这些研究（参见 Norman & Shallice, 1980, 1986）。报告的模拟结果表明，该模型能够在复杂的自然领域中进行有组织的顺序动作选择。进一步证明，在损伤后，该模型表现出与 Schwartz 等人在其动作失调综合征患者中观察到的行为定性等效。
