Artificial Intelligence - set of views - The Law of Intelligence

Artificial Intelligence is becoming hot again.This time though it looks wide and deep enough to stay though as a technology that can solve real problems.

Jeff Zaleski explains the Challenges of AI at this article at parabola.

1. The danger however is what happens next - the superintelligence challenge as described in some details in Bostrom, Nick. Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014).
"Perhaps the most important characteristic of artificial intelligence is that it keeps getting smarter. AI will not remain human-level for long. Most experts believe that within a few years, if not a few days, after the advent of human-level intelligence, artificial “superintelligence” will arise. As soon as human-level AI is reached, corporations and governments in possession of that AI will flood resources into its betterment."

2. Here is another view of Robots developing someday ethics as per Minsky. However, the challenge will be if we make them ... religious ... Will BOTS be religious?

3. The first steps include chatbots with personality - the Huffingtonpost article describes this trend here. 

4. AI intrudes into traditional drug discovery even - how AI can make drugs better is unseen benefit. See the article here. 

5. And there is obvious application in War fighting with rising IQ of machines.
6. ... and there are views that all these fears are way too much into future - we really do not have AI as of now.

“I’m actually really bemused by this sudden furor over the dangers of AI,” Underkoffler told me. “It’s a pretty simple reaction. We don’t have AI and we’re nowhere close to it.”

7. Machines by the way will become "philosophers" anyway - Here's what Google's AI Bot answers

Machines have started becoming "philosophers"

Human: What is immoral?
Machine: The fact that you have a child.

8. In the age of intelligent machines - what will man do - My Views are - Open Evolution.  

9. We need to understand the difference between intelligence and consciousness of machines. Please read here. What Elon Musk, Stephen Hawkings and Ray Kurzweil do not get! 

10.  Law of Increasing Intelligence of Technical Systems - as proposed by me Here - is the definite direction and we can not avoid it.

 

Four Levels of Military Planning - Grand and Military Strategy, Operational and Tactical

In the four levels of war defined in literature as the Grand Strategic level, Military Strategic level, Operational level and Tactical level, the operational level is the link between plan (military strategy) and the tactical level which is concerned with the actual engagement in combat. At operational level key mission is to determine the sequence of actions using the resources available that will most likely produce the military conditions that will achieve the military strategic objectives. Thus the operational commander must be constantly interacting with the strategic level even as he assess his adversary and determine how to use tactical assets under his command to achieve the planned sequence of actions.

The Grand Strategy is the nation's plan to deal with national issues, by applying instruments of national power - diplomatic, economic and military - in the international political system. The objectives being pursued and the way they are pursued constitute a nation's grand strategy. 

The Military component of grand strategy - the Military Strategy comprises plans to develop and employ military forces consistent with the grand strategic objectives. Further, Military Strategy is concerned with the employment of military power in peace and in war.

War is a phenomenon that is uncertain, unpredictable, random and increasingly becoming more complex due to modern technologies and fusion of multiple threats. Analytical and simulation models, however, have been developed and used to analyze past and future wars by design and implementation of different levels and types of war games. One of the key inputs to war games is the plan of opposing force commanders that get executed either as a series of events with consequences or estimates of combat resulting in attrition of simulated soldiers and equipment. However, in the absence of information or uncertainty about adversary’s operation plan and capabilities, evaluating an operation plan to estimate its efficacy in the actual play, is not straight forward and not many models/techniques exist. The key challenge can be depicted in the figure. What is the relationship between prediction accuracy and amount of relevant information available when it comes evaluating an Operation Plan? Which curve - A, B, C, or D shown in the figure depicts the relationship?