This paper discusses whether self-learning price-setting algorithms can coordinate their
pricing behavior to achieve a collusive outcome that maximizes the joint profits of the firms …

The meticulous study of finite automata has produced many important and useful results.
Automata are simple yet efficient finite state machines that can be utilized in a plethora of …

We study the impact of player capability on social welfare in congestion games. We
introduce a new game, the D istance-bounded N etwork C ongestion game (DNC), as the …

Hidden Markov Models (HMMs) are used to study language, sleep, macroeconomic states,
and other processes that reflect probabilistic transitions between states that can't be …

Sažetak Human beings collaborate when organized in an unchanging network of social
relationships and if the advantage of collaboration surpasses the entire cost of collaboration …

Abstract Hidden Markov models (HMMs) are used to study language, sleep, and other
processes that reflect probabilistic transitions between states that cannot be observed …

A game can be defined as a competitive activity involving skill, chance, or endurance on the
part of two or more players who make strategic decisions. Game theory (GT) provides tools …

The evolution of cooperative behaviour in iterated N-players prisoners' dilemma (INPPD) is
studied over several communication topologies. Existing models presented several solution …

Game theory has a profound influence across many different disciplines, including
economics, social science, logic, and computer science. Research in game theory has …

This thesis is composed of three independent chapters, the third of which consists of two
separate but thematically related papers. In Chapter 1, I introduce a theoretical model of …