A Framework for the Development of Sapient (Wise) Systems

不久前提出的人工/计算智能和智能系统学科至今仍被广泛使用。这些方法和技术是公认的，公认的，是解决工程、科学和相关领域难题的经典和传统方法的替代品。另一方面，人工/计算智能（Wisdom）和智能系统（Sapient）学科/领域在过去十年中只有极少数研究人员进行了探索。这些新学科包括一些与人工/计算智能和智能系统中的一些概念重叠的概念；然而，这些新学科也提出、处理并包含了一些独特的原则和概念，这些原则和概念使这些新学科本身具有创新性。特别是，人工/计算智能和智能系统学科的实现和应用可以导致一些有效的方法来处理实时决策问题和控制问题，这些问题通常在许多不同的工程和科学领域遇到。值得一提的是，在过去的十年里，我是科学界和学术界第一个将人工/计算智慧（intelligent）和智慧系统（Sapient）正式假设为新学科/领域的人。此外，我还构想了一个正式的Sapient (Wise) Decision and Control的范式，并指出了它在许多不同领域/领域的实现和实施，b[20]。我的范式可以有效地用于近似动态和高度非线性系统中经常出现的逆连续函数（输出/输入）；还包括考虑智慧系统独特特征的方法。拟议研究计划的主要目标是进一步彻底调查我的范式的发展，通过在两个公式下实施它：在功能层面；在变化的速度水平上。在这里，每个公式将用于解决一些试验台（制造，机器人，优化）问题，其中实时决策将发挥突出作用。这些试验台示例用于评估每种配方的多样性、实现的适用性和有效性。拟议的研究计划将促进先进的非常规（推理）技术的发展，包括简单有效的适应和学习策略；同时轻松符合Sapient (Wise) Systems的独特特性。这一研究项目具有相当的原创性和新颖性，并且有望在许多不同的工程和科学以及相关领域/领域产生长期的重大影响。事实上，它可以带来新的科学和技术场所/方向，这将使加拿大在竞争激烈的世界环境中处于领先地位和优势。

The Artificial/Computational Intelligence and Intelligent Systems disciplines postulated some time ago are still widely used these days. These methodologies and techniques are well established, known, and recognized worldwide as alternatives to classical and traditional methods for the solution of difficult problems in Engineering, Science, and close fields. On the other hand, Artificial/Computational Sapience (Wisdom) and Sapient (Wise) Systems disciplines/fields have been explored only by very few researchers in the last decade [19]. These new disciplines include some concepts that overlap with some concepts from the Artificial/Computational Intelligence and Intelligent Systems; however, these new disciplines also present, deal with, and include some distinctive principles and concepts that distinguish these new disciplines as novel in their own right. In particular, the implementations and applications of Artificial/Computational Sapience and Sapient Systems disciplines can lead to some methodologies that are effective for dealing with real-time Decision Making problems and Control issues normally encountered in many and diverse Engineering and Science fields. It is important to mention that I was the first in the scientific and academic community to postulate formally Artificial/Computational Sapience (Wisdom) and Sapient (Wise) Systems as new disciplines/fields in the past decade [20]. Furthermore, I also conceived a formal Paradigm for Sapient (Wise) Decision and Control, and indicated its realization and implementation in many and diverse fields/areas, [20]. My Paradigm can be effectively used to approximate inverse continuous functions (output/input) frequently present in dynamic and highly non-linear systems; and also include the means to consider the Sapient Systems distinct characteristics. The main objective of the proposed research program is to further investigate thoroughly the development of my Paradigm by implementing it under two formulations: at the functional level; and at the rate of change level. Here, each formulation will be used to solve some test-bed (Manufacturing, Robotics, Optimization) problems, where Decision Making in real time takes a prominent role. These test-bed examples serve to evaluate each formulation diversity, implementation suitability, and effectiveness. The proposed research program will facilitate the development of advanced non-conventional (inferential) techniques that include simple and efficient adaptive and learning strategies; and simultaneously comply easily with the distinctive Sapient (Wise) Systems characteristics. This proposed research program is quite original and novel, and it is also expected to have in the long term a significant and high impact in many & diverse Engineering and Science and close fields/areas. In fact, it can lead to new scientific and technological venues/directions that will give Canada a leading edge and advantage on a highly competitive world environment.