Deepak Khemani

Ph.D., IIT Bombay, 1989
M.Tech., IIT Bombay, 1982
B.Tech., IIT Bombay, 1980

Research Focus: Knowledge & Memory Based Reasoning, NLP, ANN.

The focus of my interest is on the organization of knowledge in a problem solver's memory. The aim is to explore the schematic forms in which a planner's knowledge is organized, which allow planning to be done in an abstract space. Plans for any larger goal that one has are often arrived at by suitably adapting and assembling well known plans to achieve smaller but more recurrent subgoals. This is specially relevant when one is working in an uncertain environment. The memory structures should allow situation specific knowledge to trigger solution specific sequences of actions. Neural and symbolic networks may offer insights into fine grained representation.

The granularity of knowledge could vary from a rule to a complete plan, as is done in case based reasoning. The level of abstraction is another important issue. Greater abstraction will lead to more compact structures, but may may miss out on some crucial detail in some cases. It is well known that the knowledge of experts vis-a-vis a novice includes both more abstracted structures as well as a larger collection of exceptions.

A related issue is that of natural language communication. My motivation for looking at language is as a knowledge communicator, so that we can build systems that can teach, as well as learn, using language.

Selected Publications

  1. Deepak Khemani
    "Planning with Thematic Actions",
    Proceedings : Second Int. Conf. on AI Planning Systems (AIPS94), Chicago, June 1994.
  2. B. Yegnanarayana, Deepak Khemani and Manish Sarkar
    "Neural Networks for Contract Bridge Bidding"
    Special issue on Intelligent Systems, Journal of IISc, to appear.
  3. Deepak Khemani, S.Gopal, K.Sitaraman and S.G.Somayajulu
    "Sight Seeing Plans in Natural Language"
    Proceedings of the IEEE International Conference on SMC, 1995, Vancouver, Canada.
  4. Deepak Khemani and P.V.S.R.Bhanu Prasad
    "A Memory-Based Hierarchical Planner - in Case-Based Reasoning Research & Development"
    Manuela Veloso & Agnar Aamodt (Eds.) Lecture Notes in Artificial Intelligence 1010. Springer Verlag. p.501-509.