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Thursday, May 22, 2008

Some More Co-Creation Patents

Some More Co-Creation patents

Co-creation patents

Making Open Innovation Lean and TRIZ Enabled

Blogging in Hindi!

सोचा हिन्दी में टाइप कर के देखता हूँ

I thought I will try to tpe in HINDI - My Native Language - It works!

IT is possible!

How Game Changing Ideas Emerge -

Captain GR Gopinath - He changed the way India Flies

Simplifly November 2007 (

" I was travelling from Goa to Bangalore in a chopper, and as we swept across the rural landscape, I noticed something shining amidst a cluster of huts. I realised that arising from what we imagined was the dust and poverty of villages, was a dish antenna. It was a defining momentI saw a transformed India. We were a country not of a billion hungry people, but of a billion hungry consumers. When you think like that, the paradigm shifts. It stuck me like a phenomena; we were consuming cell phones, televisions, but aviation was absent in this consumer space. "

Company Design - Design for Innovation

Design Priniciples are needed for

What is Innovation Culture?

When I took up an Innovation Position in a company, one of the old-timers asked me a question - before taking up or starting anything first understand whether the company is READY FOR INNOVATION at all!

I think that was a brilliant question? The inherent culture of the company - typically driven from the top and the legacy of the company drives how much of Inovation is part of the coampany's DNA. The businessweek article summarizes this as well Believe in Innovation to Win

Innovation Culture is Hard.

Scale Up is not just an aggregation

Companies the small ones who aspire to be big by doing more of the same think that what worked for them at current size and scale will work at larger scale and size as well.

Well all of them are typically in for multiple surprises. The Scale creates its own complexity and aggregation does not make a system with same methods. It is not about combining elemantary particles into molecules and molecules and bigger structures - At each level new laws emerge and are needed to maintain and sustain the structure.

As we know now MORE IS DIFFERENT !!!!!!!

Lessons from Science Book Class V

Nowadays there is a TV show in India - run by the Bollywood superstar wherein adults are pitted against students and questions from primary school text books.
My Son made a presentation from His textbook on Science (He was in class V last year) and here are the messages

Science Chapter 8

World has many beautiful things, but they can be dangerous if not used properly.

Safety at home

In the Kitchen (dangerous things)

-Don’t run up & down on a wet floor & staircase
-Don’t leave toys on the floor or staircases someone may trip and fall.

Avoid to get poisoning:
•Do not try tasting anything you are not sure about .
•Several medicines are poisonous for children.

Safety on road

•The road is not for playing.
•Walk on the right side of the road if there is no pavement.
•Zebra crossing is meant for crossing.
•Always drive to your right.

First aid box

•The first help that an injured person needs is called first aid.

Multiple Random Starting Points - Can they help Faster solutions

Genetic Algorithms are part of evolutionary computing that help in solving problems using genetics as a methophor. The GAs have been part of heuristic optimization techniques which includes simulated annealing, tabu search, Ant Colony Optimization etc.
The GA work on simultaneous search for optimal solution in a search space through the metaphor of mutations, reproductions, genetic inversions, cross-over etc. The solution variables are pre-defined and their ranges are also pre-defined which creates the boundaries of the search space. The solution variables are organized as bit-strings that are akin to chromosomes.
At the start of the search - a set of random bit-strings are created (it has to be random) as starting points in a play of evolutionary population simulation. Just like population reproduce, mutate, etc, the solutions population is run through multiple rounds of reproduction etc simulations called generations. Each generation chooses the fittest solutions to create further offsprings. The fitness function acts as the environment where many solutions gets killed in each generation but fittest solutions are propagated to the next geneartion. If one chooses the right fitness function and have proper genetic operators, it is likely that population converges rapidly to the global optimal solution rather than getting stuck in the local optimas.

Well, Ideation/ problem solving is exactly like this. Can we use the GA metaphor to create multiple starting points (may be random) to converge to solutions through a series of generations - there may be many questions - for example what is the fitness function? How will one represent the idea bit string and how will anyone know the variables upfront?

If we start thinking using TRIZ Inventive Prinicples and TRIZ Trends and combine them with other inventive principles (Vedic Mathematics) and then use the GA engine search for Ideas, I think we have something here!

My Book @Goodread

My GoodReads