---------------------------------------------------------- ! H E L P !!! ! ! ! ! Perhaps many new scientific discoveries are possible!! ! ! Please send this text to scientists ! ! (physicists, chemists, medics, engineers ...), ! ! scientific instituts, firms etc. or make this ! ! text available. The text is N O T only for ! ! specialists! ! ! This theory is not much known. Nobody knows this ! ! simple theory. ! ! ! ---------------------------------------------------------- (I'm new in Internet) Please send your opinion to news: sci.chaos Use the word NEURO-OBJ in subject! Can you create a new newsgroup: sci.chaos.neuro-objects If this newsgroup exists then send your opinion to this newsgroup. E-Mail adress of the writer: [log in to unmask] =============================================================== Neuronal Nets In Objects =============================================================== It's only a theory. The following suggestions are not new. But they are not much known. Ilja Prigogine (Nobel Prize Winner) and other people said simular suggestions. Please go ahead with own reflections and do experiments and computer-simulations. Perhaps many new scientific discoveries are possible! ---------------------------------------------------------------- Neuronal Nets In Mixtures Of Substances ---------------------------------------------------------------- Perhaps you can produce Neuronal Nets in mixtures of substances with relatively changeable properties and substances with memory properties. X O X O X O O X O X O X X O X O X O O X O X O X X - Particle with relatively changeable properties (A cell of the Neuronal Net) - Its state fluctuates. O - Particle with memory properties (This particle cause that the kind of connection between cells "X" is relatively constant.) - According to memory state of this particle the state of a cell determines the state of the neighbouring cell. - High-energy (chaotic) successions of cell states can change the memory state of this particle. Because of that evolution by energy control is possible. - Somtimes Rule of Hebb exist: The same state of neighbouring cells leads to another memory state of this particle then different states. For example: ----------- - A mixture of a conductive substance (eletric current is changeable = "X"-particles) with a magnetic substance (memory properties = "O"-particles) - Connection beetween cells "X" takes place by induction (according to memory state (polarization) of the neighbouring particles "O"). - Evolution by energy control: Energy supply takes place by a global alternating field. High-energy supply leads to chaotic currents --> New Order is possible. Low-energie supply --> strengthens the old Order. (read the chapter "The Learning Process") - Rule of Hebb: The same current direction of neighbouring cells "X" leads to another polarization of the neighbouring particle "O" then different current direction. ---------------------------------------------------------------- Neuronal Nets In Any Substances ---------------------------------------------------------------- Perhaps you can produce Neuronal Nets in any substances, too, because molecules have relatively changeable and relatively constant (memory) properties. Distribution of properties "X" and "O" in a structure of several molecules: X O X O X O O X O X O X X O X O X O O X O X O X X - relatively changeable property of a molecule (A cell of the Neuronal Net) - Its state fluctuates. O - memory property of a molecule (cause that the kind of connection between cells "X" is relatively constant.) - According to memory state of this "O" the state of a cell determines the state of the neighbouring cell (physical interaction). ... ... (Analogie to "Neuronal Nets in Mixtures") ---------------------------------------------------------------- The Learning Process ---------------------------------------------------------------- The learning process is stimulated by global energy supply. It's simular to brain: If something is not OK then energy supply is increased. If everthing is OK then energy supply is decreased. --------------------- ! global energy supply!----<--------<----- ! (alternating field, ! ! ! irradiation etc.) ! ! --------------------- ------------------------------- ! ! ! ! ! ! TEACHER (for example circuitry! V V V V V ! or computer etc.) ! -------------------- ! - if the measuring instruments! ! ! ! record an approach to desired! ! educable object ! ! behaviour then energy supply ! ! ! ! is decreased. ! -------------------- ! - Otherwise energy supply is ! ! increased. ! ------------- ------------------------------- ! measuring ! ! ! instruments !------->------->-------- ------------- feedback A T F I R S T there are only random fluctuations. Each system fluctuates in a somewhat chaotic way: 1.) Sometimes the system fluctuates in a undesired direction: --> Energy supply is increased --> The neuronal connections are destroyed partly (Not all connections are destroyed: only "bad", unstable configurations of connections) 2.) Sometimes the system fluctuates in a desired direction: --> Energy supply is decreased --> The neuronal connections are strengthened partly 1. + 2.) ---->>> It's simular to selection process in nature (E V O L U T I O N)!!! -------------------------------- L A T E R : desired behaviour is strenghened. Remark: ------ - You have to find the middle energy supply and the variation of energy supply by measuring series or by flexible computer programs. ---------------------------------------------------------------- Teach The Object Any Physical Or Chemical Properties ---------------------------------------------------------------- Perhaps you can teach the object any physical or chemical properties? It's N O T necessary to know the following mechanism, because self-organization takes place. At First : ---------- Chance distribution of any L O C A L properties "a" and "b" in the object: Object: (It's only an example) abababbabbaba bababbababbab babaaabbabbaa bbabbbabbbbab 1. Possibility (After learning process): ---------------------------------------- Moving balance of L O C A L properties (It's a very simple learning destination) bbbbbabbaaaaa bbbbbbabbaaaa bbbbbaababaaa bbbbbbaaaaaaa --> other G L O B A L physical and chemical properties 2. Possibility (After learning process): ---------------------------------------- Moving space and time concentration of L O C A L proterties bbbbbaaaaabbb bbbbbaaaaabbb aaaaabbbbbaaa aaaaabbbbbaaa --> other G L O B A L physical and chemical properties 3. Possibility: -------------- Perhaps you can control known self-organization-mechanism (for example Belousov-Zhabotinsky-reaction) to disired direction by learning process. Remark ------ It could be that "a" and "b" are unknown physical properties in microcosm. Then global properties (after learning process) are unknown, too. ---> New scientific discoveries are possible!! ---------------------------------------------------------------- Literature ---------------------------------------------------------------- Read literature about Chaos Theory, Neuronal Nets (especially Hopfield Net) and evolution! ---------------------------------------------------------------- Possible Uses ---------------------------------------------------------------- 1.) Information Processing --------------------- ! global energy supply!----<--------<----- ! (alternating field, ! ! ! irradiation etc.) ! ! --------------------- ------------------------------- ! ! ! ! ! ! TEACHER (for example circuitry! V V V V V ! or computer etc.) ! -------------------- ! - If the output-matrix is ! !in- ! educable !out-! ! simular to desired ! !put-! mixture !put-! ! output-matrix then energy ! !ma- ! of sub- !ma- ! ! supply is decreased. ! !trix! stances !trix! ! - Otherwise energy supply is ! -------------------- ! increased. ! ! ! ! ! ! ! ------------------------------- ------------------- ! ! measuring ! ! ! instruments !------->------->-------- ------------------- feedback 2.) Perhaps you can teach the object any physical or chemical properties. For example: improvement of energy transformations, for example a photo element: ------------------------ ! global energy supply !----<--------<----- !(alternating field etc.)! ! ------------------------ --------------------------------- ! ! ! ! ! ! TEACHER(circuitry,computer etc.)! V V V V V ! ! ------------------------ ! - If current increases then ! ! photo element ! ! energy supply is decreased. ! !(Each current fluctuates! ! - If current decreases then ! ! a little bit) ! ! energy supply is increased. ! ------------------------ --------------------------------- ! ! ! ------------- ! ! Voltmeter !------->------->---------- ------------- feedback 3.) improvement of healing processes ------------------------ ! global energy supply !----<--------<----- !(alternating field etc.)! ! ------------------------ --------------------------------- ! ! ! ! TEACHER(circuitry,computer etc.)! V V V ! ! sick part of the body ! - At health-signal ! ( - - ) ! energy supply is decreased. ! ( O O ) ! - At signal of disease ! ( ! ) ! energy supply is increased. ! ( --- ) --------------------------------- - ! ------------- ! ! measuring !------->------->---------- ! instruments ! feedback ------------- (Perhaps in some cases you can control the energy supply by mental concentration (without any machines)?) 4.) You have to apply this theory to your own special problems. (If the measuring instruments record an approach to desired behaviour then energy supply is decreased. Otherwise energy supply is increased.) 5.) Perhaps you can teach the object unexpected, remarkable or "impossible" properties. ---------------------------------------------------------------- An Experiment For You: A Chaos-Game ---------------------------------------------------------------- At first the game figures are distributed by chance. Destination of the game: The number of the figures on the left side of the game board should be greater then number on the right side: number LEFT > number RIGHT (moving balance) ------------------------ ! global energy supply ! ! (You shake the game ! ! board with your hand.)!----<--------<----- ! ! ! ------------------------ ------------------------------ -- ! ! ! ! TEACHER (your brain) ! V V V ! ! game board with figures: ! - if number LEFT is great then ! LEFT RIGHT ! energy supply is decreased. ! ------------------------ ! - if number LEFT is small then ! ! O O ! O O ! ! energy supply is increased. ! ! O O ! O ! !(You can lay down a rule - ! ! O O ! O O ! ! for example: ! ! O O ! O O O ! ! strength of shaking = ! ------------------------ ! k1*(numberRIGHT-numberLEFT)+k2) ! --------------------------------- ------------- ! ! measuring !------->------->---------- ! instrument ! feedback ! (your eye) ! ------------- The experiment shows: Evolution by energy control is possible. You have to imagine: a game figure "O" = local memory property "O" in this game in a substance ------------------------------------------------------------------ Computer Simulation Of This Chaos-Game ------------------------------------------------------------------ uses crt; const maxcell = 10; var board:array[1..maxcell,1..maxcell] of integer; sum_left,sum_right,number:real; procedure chance_direction (var dx,dy:integer); (*-------------------------------------------*) begin dx := - 1+trunc(random (300)/100); dy := - 1+trunc(random (300)/100); end; procedure chance_place(var x,y:byte); (*---------------------------------*) begin x:= random (maxcell) + 1; y:= random (maxcell) + 1; end; procedure init; (*------------*) var x,y:byte; begin sum_left := 0; sum_right := 0; number:=0; randomize; for x := 1 to maxcell do for y := 1 to maxcell do board[x,y] := random(2); end; procedure drawing; (*--------------*) var x,y:byte; begin randomize; for x := 1 to maxcell do for y := 1 to maxcell do begin gotoxy(x*4,y*2); write (board[x,y]:3); end; end; function strength_of_energy: integer; (*----------------------------------*) var number_left, number_right:integer; x,y:byte; begin number_left := 0; for x:= 1 to maxcell div 2 do for y := 1 to maxcell do number_left := number_left + board[x,y]; number_right := 0; for x:= maxcell div 2 + 1 to maxcell do for y := 1 to maxcell do number_right := number_right + board[x,y]; strength_of_energy := round(0.25* (number_right-number_left) + 10); number := number + 1; sum_left := sum_left + number_left; sum_right := sum_right + number_right; gotoxy(65,1); write(number_left:4,' ',number_right:4); gotoxy(65,3); write((sum_left/number):4:1,' ', (sum_right/number):4:1) end; procedure shake (strength:integer); (*-------------------------------*) var i,dx,dy:integer; x,y:byte; new_x,new_y:integer; begin if strength <= 0 then exit; for i := 1 to strength do begin chance_place(x,y); chance_direction(dx,dy); new_x := x+dx; new_y := y+dy; if (new_x in [1..maxcell]) and (new_y in [1..maxcell]) then begin if board[x,y]>0 then begin dec(board[x,y]); inc(board[new_x,new_y]) end; end; end; end; (* main *) (*------*) begin clrscr; init; repeat; drawing; shake(strength_of_energy) until keypressed; end. writer: Carsten Zander, Germany