I introduce algorithmic models for the study of strategic problem solving, aimed at illuminating the processes and procedures by which strategic managers and firms deal with complex problems. These models allow us to explore the relationship between the complexity of an environment, the...

A principal- agent model of affect (principal) and cognition (agent) is shown to explain cognitive 'biases' and 'fallacies' as well as inter-theoretic choices predicated on extra-evidential considerations (such as simplicity) within a single, consistent, maximization-based framework. The...

We introduce a model of managerial problem formulation which proposes that a key decision criterion for choosing among alternative managerial problem statements is the computational complexity (K-complexity) of the required solution algorithm of alternative problem statements. We distill many...

We introduce a formal language for describing epistemic states in networks at the individual (node, or agent) and interactive (multi-node) levels and at multiple epistemic levels (knowledge as well as knowledge about knowledge) and show how it allows us to represent states of belief, confidence...

We investigate the epistemology of trust in social networks. We posit trust as a special epistemic state that depends on actors' beliefs about each others' beliefs as well as about states of the world. It offers new ideas and tools for representing the core elements of trust both within dyads...