TY - GEN
T1 - Modeling Agents through Bounded Rationality Theories
AU - Rosenfeld, Avi
AU - Kraus, S.
N1 - Place of conference:USA
PY - 2009
Y1 - 2009
N2 - Effectively modeling an agent's cognitive model is
an important problem in many domains. In this paper,
we explore the agents people wrote to operate
within optimization problems. We claim that the
overwhelming majority of these agents used strategies
based on bounded rationality, even when optimal
solutions could have been implemented. Particularly,
we believe that many elements from Aspiration
Adaptation Theory (AAT) are useful in quantifying
these strategies. To support these claims,
we present extensive empirical results from over
a hundred agents programmed to perform in optimization
problems involving solving for one and
two variables.
AB - Effectively modeling an agent's cognitive model is
an important problem in many domains. In this paper,
we explore the agents people wrote to operate
within optimization problems. We claim that the
overwhelming majority of these agents used strategies
based on bounded rationality, even when optimal
solutions could have been implemented. Particularly,
we believe that many elements from Aspiration
Adaptation Theory (AAT) are useful in quantifying
these strategies. To support these claims,
we present extensive empirical results from over
a hundred agents programmed to perform in optimization
problems involving solving for one and
two variables.
UR - https://scholar.google.co.il/scholar?q=Modeling+Agents+through+Bounded+Rationality+Theories&btnG=&hl=en&as_sdt=0%2C5
UR - https://scholar.google.co.il/scholar?q=%09Modeling+Agents+through+Bounded+Rationality+Theories&btnG=&hl=en&as_sdt=0%2C5
M3 - Conference contribution
BT - IJCAI
ER -