%0 Conference Paper %B Proc. 2005 IEEE Congress on Evolutionary Computation (CEC 2005) %D 2005 %T The Degree of Potential Damage in Agonistic Contests and its Effects on Social Aggression, Territoriality and Display Evolution %A Robert Lowe %A Nehaniv, Chrystopher L %A Daniel Polani %A Lola Cañamero %B Proc. 2005 IEEE Congress on Evolutionary Computation (CEC 2005) %I IEEE %C Edinburgh, Scotland %P 351–358 %@ 0-7803-9363-5 %G eng %0 Conference Paper %B ALIFE IX: Proceeding of the 9th international conference on the simulation and synthesis of living systems %D 2004 %T The Evolution of Affect-Related Displays, Recognition and Related Strategies %A Robert Lowe %A Lola Cañamero %A Nehaniv, Chrystopher L %A Daniel Polani %E Jordan Pollack %E Mark A Bedau %E Phil Husbands %E Takashi Ikegami %E Richard A. Watson %X This paper presents an ecologically motivated, bottom-up approach to investigating the evolution of expression, perception and related behaviour of affective internal states that complements game-theoretic studies of the evolutionary success of animal display. Our results show that the perception of displays related to affect greatly influences both the types of display produced and also the survival prospects of agents. Relative to agents that do not perceive rival agent internal state, affect perceivers prosper if the initial environment in which they reside provides numerous opportunities for interaction with other agents and resources. Conversely, where the initial environment with sparse resources does not allow for regular interaction, ability to perceive affect is not as facilitatory to survival. Furthermore, the agents evolve particular display strategies distorting the expression of affect and greatly influencing the proportion of affect perceiving to nonaffect perceiving agents over evolutionary time. %B ALIFE IX: Proceeding of the 9th international conference on the simulation and synthesis of living systems %I MIT Press %P 176–181 %@ 9780262661836 %G eng %0 Conference Paper %B The Logic Of Artificial Life: Abstracting and Synthesizing the Principles of Living Systems; Proc. 6th German Workshop on Artificial Life 2004 %D 2004 %T Strategies in the Evolution of Affect Related Displays and Recognition %A Robert Lowe %A Lola Cañamero %A Nehaniv, Chrystopher L %A Daniel Polani %E Harald Schaub %E Frank Detje %E Ulrike Brüggermann %X A more realistic alternative to the game theoretic approach to measuring the behavioural success of animal display can be represented by affect related expression and perception The current paper investigates the ways in which agents can use evolved affect related displays to manipulate the behaviour of affect perceiving rival agents to their survival advantage. %B The Logic Of Artificial Life: Abstracting and Synthesizing the Principles of Living Systems; Proc. 6th German Workshop on Artificial Life 2004 %I IOS Press %C Bamberg, Germany %G eng %0 Conference Paper %B Artificial Life VIII: Proceedings of the Eighth International Conference on Artificial Life %D 2002 %T Meaningful Information, Sensor Evolution, and the Temporal Horizon of Embodied Organisms %A Nehaniv, Chrystopher L %A Daniel Polani %A Kerstin Dautenhahn %A René te Boekhorst %A Lola Cañamero %E Russell Standish %E Mark A Bedau %E Hussein A Abbass %X We survey and outline how an agent-centered, information-theoretic approach to meaningful information extending classical Shannon information theory by means of utility measures relevant for the goals of particular agents can be applied to sensor evolution for real and constructed organisms. Furthermore, we discuss the relationship of this approach to the programme of freeing artificial life and robotic systems from reactivity, by describing useful types of information with broader temporal horizon, for signaling, communication, affective grounding, two-process learning, individual learning, imitation and social learning, and episodic experiential information (memories, narrative, and culturally transmitted information). %B Artificial Life VIII: Proceedings of the Eighth International Conference on Artificial Life %I MIT Press %C Sydney, Australia %P 345–349 %@ 9780262692816 %G eng