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This paper develops a multitask model in which attention is the primary scarce resource. A decision-maker allocates a fixed stock of attention between a measured task, which produces observable output rewarded by a metri…
Wir stellen eine konfigurierbare, räumlich explizite Umgebung vor, die agentenbasierte Experimente über lange Zeiträume unter Knappheit, Risiko und wechselnden Bedingungen ermöglicht. Die Welt besteht aus einem 256×256-R…
We propose a research framework for agent-based modeling that treats cognition as a mechanistic substrate rather than a simplifying assumption. The framework emphasizes attention, memory, inertia, and regime-switching dy…
Standard economic and agent-based models often rely on thin optimizers whose behavior is fully characterized by stable preferences and explicit incentives. In this paper, we ask what changes when we do not propose a new…
Economic and agent-based models typically treat motivation as continuously revisable and memory as either a ledger or a nuisance. This work argues that these simplifications obscure a key causal surface: internal archite…
We present an agent-based model in which fitness emerges from a coupled architecture of domain skill formation, ecological constraints, and strategic social conflict. Agents differ by domain-specific raw talent and accum…