Adonis Diaries

Artificial Intelligence? As if our intelligence is natural? 

Posted on: October 26, 2008

Article #50, (September 10, 2006)

Computational Rationality in Artificial Intelligence

The field of Artificial Intelligence would have been more on target if it was called “Computational Rationality”, which is fundamentally the approach of the fourth system:  Any scientific field, to be considered mature, a consensus by the professionals has to be reached; and the roots of the field of knowledge should be firmly grounded on mathematics and recognized traditional “rational logic”.

            In order to have a holistic view of the elements that are considered in AI, it would be interesting to picture a table of basic elements such as designed for the chemistry elements. Thus A for atom, Ab for alpha-beta search, Al for algorithm, Af for automatic theory formation, At for augmented transition net, B for Bayes’ rule, Bf for breadth first search, Bl for blocks-world labelling heuristics, Br for binary relations, Bt for backtracking search, C for concept formation, Cd for COND, Cf for closure of functions, Cg for context-free grammar,  Cl for cellular logic,  Cn for constraint, Cr for circular reaction paradigm, Cs for CONS, Df for differentiation, D for depth, Dc for Dempster-Shafer calculus, De for debugging, Df for DEFUN, Di for discovery, Dm for dialogue management, Dn for discrimination network,  Ds for depth first search, E for expertise, F for frame, Fc for forward chaining, Fm for formula manipulation, Fz for fuzzy logic, H for heuristic, Hm for the Hough transform, Ht for Herbrand’s theorem, I for ISA hierarchy, In for integration, Ie for inference engine, If for image formation and acquisition, Ih for inheritance, In for inference network, Ir for image representation, Kr for knowledge representation, L for lexicon, Lp for LISP, Lr for logical reasoning, Ls for LEIBNIZ structure, M for morphology, Mp for MAPCAR, Nm for numerical model, P for Prolog, Pa for pattern matching, Pb for probability, Pc for propositional calculus, Pd for predicate calculus,  Pf for preprocessing of low-pass filtering, Pg for pragmatics, Pl for planning, Pp for parallel processing, Ps for problem solving, Pr for production rule, Py for PYTHAGORUS, Q for quantization, R for robotics, Ra for Ramer’s algorithm, Rb for rule-based systems, Rc for recursive lists, Rd for relational database, Re for relaxation, Rn for resolution, S for semantics, Sc for schemata, Sf for sufficiency factor, Sg for segmentation, Sh for shell, Sn for semantic net, Sp for script, Sq for SETQ, SS for state space, St for stereo, Sx for S-expression, Sy for syntax, U for unification, T for topology, Tt for Turing’s test, V for version space, Z for zero-sum games.

It would be interesting to classify these AI elements into chapters such as: Programming in LISP, Productions and matching, Knowledge representation, Search methods, Logical reasoning, Probabilistic reasoning, Learning, Natural-language understanding, Vision, and Expert systems…

Is our intelligence that natural or acquired through customs, tradition, formal teaching, standards of moral value, community consensus…Even a person living in a forest, away from any mankind habitation and communication, he is learning from animal behaviors communicated from customs, tradition, teaching processes inculcated by the particular animal communities…

How mankind intelligence differ and developed? Mostly through trading with other human communities:  Exchanging expert tools of production, learning mechanisms, various customs and traditions…Variety of perspectives to looking at life, the universe and survival processes…

(To be developed further)

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October 2008

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