The intention of this section of the Hybrid AI paradigm is to try to summarise a broad spectrum of technology that will need to be addressed. In reality, the actual breadth of technology that will eventually be required to underpin the evolution of AI may be much wider than we can even imagine today. In all probability, these dependencies will spread across virtually all the sciences, old and new. However, in an attempt to reflect the scope of technology under consideration, the section is broken into 4 further sub-sections, each addressing a range of topics:
The scope of this sub-section might be considered as being anchored in current technology that already exists from which future developments can be extrapolated with a reasonably high probability of occurrence:
This is essentially a special case of current technology, which may be funded directly from military budgets around the world. There are two implications that flow from military funding, the first being the huge level of research investment, the second being the initial level of visibility of the research and its application:
The scope of robotics starts in the present, but its potential lies in the future. However, the development of robotic technology could be central to the development of AI, because robotics is closely linked to emulating the evolutionary physiology of humans
Unlike the previous categories, some aspects of the technology to be discussed in this subsection might be described as highly speculative, because the technology will be predicated on new breakthroughs in science and technology:
It should be recognised that, at the current point in time, there is no established or overarching approach that guides and coordinates AI research. Therefore, researchers often disagree about many of the key issues, which makes it difficult to focus on any given aspect of technology development that might be described as central to AI. However, it is recognised, and generally accepted, that a few of the key questions that remained unanswered relate to to whether AI should simulate biological intelligence by studying human physiology and neurology. In contrast, some contend that human biology is about as relevant to AI as bird biology is to aeronautical engineering.