A Framework for the Development of Sapient (Wise) Systems

一段时间前提出的人工/计算智能和智能系统学科如今仍然被广泛使用。这些方法和技术被公认为解决工程、科学和相关领域难题的经典和传统方法的替代方法，在世界范围内广为人知。另一方面，人工/计算智能(智慧)和智能(智慧)系统学科/领域在过去十年中只有很少的研究人员探索[19]。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，这些新学科也呈现、处理并包括一些独特的原则和概念，这些原理和概念将这些新学科本身区分为新学科。特别是，人工/计算智能和智能系统学科的实施和应用可以导致一些方法，这些方法对于处理许多不同的工程和科学领域中通常遇到的实时决策问题和控制问题是有效的。值得一提的是，在过去的十年里，我是科学界和学术界中第一个正式假设人工/计算智能(智慧)和智能(智慧)系统为新的学科/领域的人[20]。此外，我还构思了一个正式的决策和控制范式，并指出了它在许多不同领域/领域的实现和实施，[20]。我的范式可以有效地用来逼近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Sapient系统不同特征的方法。拟议研究方案的主要目标是通过在两种形式下实施我的范式来进一步彻底调查我的范式的发展：在职能层面上；以及在变化层面上。在这里，每个配方都将被用来解决一些试验台(制造、机器人、优化)问题，其中实时决策起着突出的作用。这些试验台示例用于评估每个配方的多样性、实施的适宜性和有效性。拟议的研究计划将促进先进的非常规(推理)技术的发展，包括简单而有效的适应和学习策略；同时很容易符合独特的Sapient(Wise)系统特征。这项拟议的研究计划具有相当的原创性和新颖性，从长远来看，它还将在许多不同的工程和科学以及邻近的领域/领域产生重大和高度的影响。事实上，它可以带来新的科技场所/方向，使加拿大在竞争激烈的世界环境中拥有领先优势和优势。

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.