Consideration of single aspects of predation can give only a rough outline of the way in which the predator reacts to its prey and to other predators. Previous studies of predatory insects attempted to elucidate some of the basic processes of predator-prey interactions. Generally, they concluded that there are likely to be only a few important components which govern the outcome of a predator prey interaction. For example, functional responses to prey density (Holling 1959, 1966), efficiency of capture (Dixon & Russel 1972; Evans 1976), the way in which the predator reacts to prey distribution (Banks 1957; Dixon 1958). Those studies were carried out in artificial situations and, in some cases, the results were used to augment field observations, for example, Dixon & Russel (1972) used laboratory estimates of speed of movement and range of perception to calculate the area covered by anthocorids in the field. Similar studies of insect parasites have been complemented by long term observations of laboratory ecosystems. Those studies (Hassell & Huffaker 1969; Takahashi 1961; Podoler 1974) involved interactions, over several generations, between parasites and hosts with discrete and synchronized generations. The effects of different mortality factors were quite easily measured, particularly the results of parasitism. One of the major contributors to parasite population stability was interference between parasite individuals leading to a density-dependent decrease in fecundity as parasite density increased (Hassell & Varley 1969; Hassell 1971 a,b). There is now some evidence that interference occurs in natural ecosystems. For example, a female Rhyssa persuasoria L. drives off intruding females from the same area of tree trunk (Spradbery 1970) while ignoring its cleptoparasite, Pseudorhyssa sternata Merrill (Spradbery 1969). Studies of predator-prey interactions are considerably more difficult to carry out. Prey are either removed from the system or rendered unrecognizable making it difficult to assess the degree of predation. Predator eggs can be difficult to find, particularly in a field situation, and often cannot be related to adult density. Additionally, in the field, insect predators normally have a maximum of two generations per year. Consequently data for inter-generation relationships (Hassell 1966) can take many years to accumulate. The present study was an attempt to overcome these difficulties by allowing predators and prey to interact over a number of generations within a relatively short time scale in the laboratory. The major aims were to pinpoint intraand inter-generation relationships which affect the predator's success and, if possible, to relate these to data from natural situations. Anthocoris confusus Reuter was used as the predator and Aulacorthum circumflexus Buckton as its aphid prey.