In a temporally defined system of reinforcement schedules, the fixed interval case is defined when reinforcement probability, P, is equal to unity for the first response in any cycle length, T; when P is less than 1.0, random interval schedules emerge wherein T/P specifies the expected interval between reinforcements. Key-pecking rates were found to be: (a) inversely related to T/P; (b) higher at T = 1.0 second than at other T parameter values; (c) low and linear at several T and T/P values. The mean post-reinforcement pause, if initially small, increased, and if initially large, decreased, as T/P increased.In 1956, Schoenfeld, Cumming and Hearst proposed a method for defining reinforcement schedules that was based on the independent variable of time and that early demonstrated a certain subsumptive power by generating behavioral patterns hitherto associated with ratio schedules. Two basic variables used to define this temporal system of reinforcement schedules were, tD, a time period during which reinforcement is available, and t0, a time period during which it is not. Symbols used to express combinations of these two variables are: T (cycle length), which is equal to tD + tA, and T, which is equal to tD/tD + t0. Three of the parameters of the system were restricted to fixed values in the early papers (Brandauer, 1958;Clark, 1959;Hearst, 1958;Schoenfeld and Cumming, 1957) Another parameter of this system, which is the focus of the present study, is called P, and is the probability of reinforcement for the first response in any cycle length, T. With P at unity, and T at unity, and the three stated restrictions, schedules are produced which are equivalent to fixed-interval schedules (when the fixed interval is timed from the end of the preceding interval rather than from the reinforcement) if T is greater than reinforcement time. The fixed-time interval between reinforcement availabilities is stated by the value of T or cycle length. When P is reduced to values less than unity, however, T comes to specify a minimum, rather than a fixed, time interval separating reinforcement availabilities, since it is now possible that more than one cycle length will separate reinforcements. Given (a) equal probabilities of reinforcement in each cycle length, T, and (b) an organism responding at a rate equal to or greater than 1 /T, the actual number of these lengths which will separate reinforcements can be predicted by the equation P(N) = (1-P)N-1 P where P equals the probability of reinforcement for the first response in any cycle length T, N equals the number of cycle lengths between reinforcements, and P(N) is the probability of that number. According to this equation, the most probable number of cycle lengths between reinforcement availabilities as well as *the smallest number possible, is one; a larger number will occur with an exponentially smaller probability. The mean interval between reinforcement availabilities is expressed by the ratio T/P. Since reinforcement 607