Abstract-Error exponents are studied for recursive and majority decoding algorithms of general Reed-Muller codes RM(r; m) used on an AWGN channel. Both algorithms have low complexity order and are capable of correcting many error patterns beyond half the distance. Decoding consists of multiple consecutive steps, which repeatedly recalculate the input symbols, rst replacing them with their products and sums and then using soft-decision majority voting. To de ne error exponents, we study the probabilities of the symbols obtained in these recursive recalculations. The end result are analytical upper bounds on the output error probability that hold for recursive and majority decoding algorithms of any code RM(r; m):