Abstract:
This novel research provides an artificial intelligence based computational modeling and simulation approach to determine causal relations leading to success for African-American technology ventures and entrepreneurship in a social-technical-economic-political (STEP) complex dynamic ecosystem. This methodology is called agent-based modeling (ABM) and simulates the organizational behavior of an African-American owned enterprise (AAE) as it interacts with other autonomous decision-making participants or agents: government R&D (G), research universities(R), funding institutes (F),and non-AAEs (N) (AGRFN-ABM). Findings based on emergence of aggregate behavior for AAE include government set-aside contracts are significant for success; funding can be off set by high socio-economic status; collaborations can increase funding and competencies but is only short-term for universities; and debtor equity funding create only short-term opportunities.
