From Rational to Emotional Agents
A Way to Design Emotional Agents
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Can agents be intelligent without emotions? Is it possible to incorporate emotions into agents?If possible, how can we do that?Can we build high EQ (emotional quotients) agentswhich have better performance than rational agents?We believe that, whether for human-like ornon-human-like agents, the effect of emotions ondecision-making cannot be ignored, because high EQagents can be built to have better performance incomplex dynamic environments than purely rational agents.Taking into account the incompleteness of emotiontheories and emotional differences among individuals,this book describes EBDI,...
Can agents be intelligent without emotions?
Is it possible to incorporate emotions into agents?
If possible, how can we do that?
Can we build high EQ (emotional quotients) agents
which have better performance than rational agents?
We believe that, whether for human-like or
non-human-like agents, the effect of emotions on
decision-making cannot be ignored, because high EQ
agents can be built to have better performance in
complex dynamic environments than purely rational agents.
Taking into account the incompleteness of emotion
theories and emotional differences among individuals,
this book describes EBDI, a common architecture for
emotional agents, which specifies a separate emotion
mechanism within an agent. It reflects the practical
reasoning process, and one can select and apply part
of an emotion theory into the architecture as needed.
Sample agents in Tileworld are presented and the
results show that an EBDI agent can have better
performance than traditional BDI agents. This book
also describes how to design emotional agents (EBDI
agents) in negotiation, which has been a subject of
central interest in Distributed AI, economics and
political science.
Is it possible to incorporate emotions into agents?
If possible, how can we do that?
Can we build high EQ (emotional quotients) agents
which have better performance than rational agents?
We believe that, whether for human-like or
non-human-like agents, the effect of emotions on
decision-making cannot be ignored, because high EQ
agents can be built to have better performance in
complex dynamic environments than purely rational agents.
Taking into account the incompleteness of emotion
theories and emotional differences among individuals,
this book describes EBDI, a common architecture for
emotional agents, which specifies a separate emotion
mechanism within an agent. It reflects the practical
reasoning process, and one can select and apply part
of an emotion theory into the architecture as needed.
Sample agents in Tileworld are presented and the
results show that an EBDI agent can have better
performance than traditional BDI agents. This book
also describes how to design emotional agents (EBDI
agents) in negotiation, which has been a subject of
central interest in Distributed AI, economics and
political science.
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