The Agent Based Modeling (ABM) arm of Tempus Dictum has been providing modeling and simulation services to various companies and universities for over 7 years. The principal systems engineer, Glen Ropella, has been constructing ABMs since his stint at the Santa Fe Institute (SFI) in 1996, as well as having built various simulations on a variety of technology stacks since 1988 while working for Lockheed Martin.
We've built up a spectrum of models including artificially intelligent agents for business intelligence applications, genetic algorithms/programs for image and textual data analysis, and complex mechanism-phenomena maps for actors as diverse as: fish, distribution of insurance products, diffusion of innovation, cellular uptake, and drug metabolism.
We are formalism and technology agnostic. We've built ABMs in many simulations toolkits, as well as from scratch, relying on a wide variety of computational and mathematical formalisms. Our objective is not to prosyletize the latest or any particular way of doing things. Our objective is to solve the interesting and difficult problems of our clients regardless of the domain or solution method that best fit those problems.
Although much of our focus and skill descends directly from complexity studies (ala the SFI), techniques from such studies are often unnecessary or inappropriate. The goal is to solve our customers' problems with the highest efficacy and efficiency possible. And that can often include upstream problem definition and requirements extraction.
ABM@TDI specializes in constructing Agent Based Models to help our customers characterize, understand, and estimate phenomena in their domain, from organizational dynamics to microbiology. We perform at all stages of a project's lifecycle, from problem definition, through systems/software engineering, programming, testing, maintenance, and post-mortem analysis.