摘要翻译：
人类的决策过程产生于选定数量的相关信息的使用，这些信息通常是从环境输入的数据和存储的记忆中合成的。他们的主要目标是对认知或行为任务产生适当的适应性反应。反应产生的策略主要有随机试验、心理方案形成和启发式。在本文中，我们提出了一个布尔神经网络模型，通过在学习会话中循环全局优化策略，将这些策略结合在一起。该模型还描述了从一个典型的数据驱动过程的非结构化/混沌吸引子神经网络到一个更快的、只向前的和代表模式驱动过程的吸引子神经网络的过程。此外，为了验证该模型，本文引入了一个简化的爱荷华赌博任务(IGT)。我们的结果与实验数据相吻合，并指出了心理学领域的一些相关知识。
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英文标题：
《Decisional Processes with Boolean Neural Network: the Emergence of
  Mental Schemes》
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作者：
Graziano Barnabei, Franco Bagnoli, Ciro Conversano, Elena Lensi
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  Human decisional processes result from the employment of selected quantities of relevant information, generally synthesized from environmental incoming data and stored memories. Their main goal is the production of an appropriate and adaptive response to a cognitive or behavioral task. Different strategies of response production can be adopted, among which haphazard trials, formation of mental schemes and heuristics. In this paper, we propose a model of Boolean neural network that incorporates these strategies by recurring to global optimization strategies during the learning session. The model characterizes as well the passage from an unstructured/chaotic attractor neural network typical of data-driven processes to a faster one, forward-only and representative of schema-driven processes. Moreover, a simplified version of the Iowa Gambling Task (IGT) is introduced in order to test the model. Our results match with experimental data and point out some relevant knowledge coming from psychological domain.
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PDF链接：
https://arxiv.org/pdf/1001.1257