"Not Without My Ancestors": A Christological Case Study of the Shona Ancestor Cult of Zimbabwe

The issue of ancestors has been controversial since the first encounters of Christianity with Shona religion. It remains a major theological problem that needs to be addressed within the mainline churches of Zimbabwe today. Instead of ignoring or dismissing the ancestor cult, which deeply influences the socio-political, religious, and economic lives of the Shona, churches in Zimbabwe should initiate a Christology that is based on it. Such a Christology would engage the critical day-to-day issues that make the Shona turn to their ancestors. Among these concerns are daily protection from misfortune, maintaining good health and increasing longevity, successful rainy seasons and food security, and responsible governance characterized by economic and political stability. Since the mid-16th century arrival of Jesuit missionaries in the Mutapa Kingdom, the Church has realized that many African Christians resorted to their ancestors in times of crisis. Although both Catholic and Protestant missionaries from the 1700s through the early 1900s fiercely attacked Shona traditional beliefs as superstitious and equated ancestors with evil spirits, the cult did not die. Social institutions, such as schools and hospitals provided by missionaries, failed to eliminate ancestral beliefs. Even in the 21st century, many Zimbabweans consult their ancestors. The Shona message to the church remains "Not without My Ancestors." This dissertation examines the significance of the ancestors to the Shona, and how selected denominations and new religious movements have interpreted and accommodated ancestral practices. Taking the missiological goal of "self-theologizing" as the framework, this dissertation proposes a "tripartite Christology" of "Jesus the Family Ancestor", "Jesus the Tribal Ancestor," and "Jesus the National Ancestor," which is based on the Shona "tripartite ancestrology." Familiar ecclesiological and liturgical language, idioms, and symbols are used to contribute to the wider Shona understanding of Jesus as the ancestor par excellence, in whom physical and spiritual needs-including those the ordinary ancestors fail to meet-are fulfilled.

Informed Content Delivery Across Adaptive Overlay Networks

Overlay networks have emerged as a powerful and highly flexible method for delivering content. We study how to optimize throughput of large, multipoint transfers across richly connected overlay networks, focusing on the question of what to put in each transmitted packet. We first make the case for transmitting encoded content in this scenario, arguing for the digital fountain approach which enables end-hosts to efficiently restitute the original content of size n from a subset of any n symbols from a large universe of encoded symbols. Such an approach affords reliability and a substantial degree of application-level flexibility, as it seamlessly tolerates packet loss, connection migration, and parallel transfers. However, since the sets of symbols acquired by peers are likely to overlap substantially, care must be taken to enable them to collaborate effectively. We provide a collection of useful algorithmic tools for efficient estimation, summarization, and approximate reconciliation of sets of symbols between pairs of collaborating peers, all of which keep messaging complexity and computation to a minimum. Through simulations and experiments on a prototype implementation, we demonstrate the performance benefits of our informed content delivery mechanisms and how they complement existing overlay network architectures.

Bring ART into the ACT

ACT is compared with a particular type of connectionist model that cannot handle symbols and use non-biological operations that cannot learn in real time. This focus continues an unfortunate trend of straw man "debates" in cognitive science. Adaptive Resonance Theory, or ART, neural models of cognition can handle both symbols and sub-symbolic representations, and meets the Newell criteria at least as well as these models.