|Abstract||Computational functionalism  fails to understand the embodied and situated nature of behaviour by taking steady state functions as theoretical primitives, and by interpreting cognitive behaviour from a language-like, observer dependant framework without a naturalized normativity. Evolutionary functionalism [28, 27], on the other hand, by grounding functional normativity on historical processes fails to give an account of normative functionality based on the present causal mechanism producing behaviour. We propose an alternative autonomous dynamical framework where functionality is deﬁned as contribution to self-maintenance [15, 10, 35] and normativity as satisfaction of closure criteria. We develop this framework by a set of formal deﬁnitions in the framework of dynamical system theory and propose the hypothesis of an homeostatic-plasticity [31, 40] based general purpose value system as an internalized normative mechanism that selects between internal state trajectories to produce adaptive functionality under diﬀerent environmental conditions. To test the hypothesis we develop a simulation model where lower level speciﬁcations of a control arquitecture (an homeostatic plastic DRNN) give rise (through a simulated evolutionary process) to adaptive behaviour in a foraging task where food sources can be poisonous or proﬁtable. Analysis of the evolved agent show that plastic changes occur when the agent produces salient adaptive interactions, those plastic changes determining the adaptive strategy. The embodied and interactive adaptive functionality is dynamically analysed, illustrating the autonomous dynamical framework.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Only published papers are available at libraries|
Similar books and articles
Mark Bickhard (2002). The Process Dynamics of Normative Function. The Monist 85 (1):3-28.
Pierre Barbaroux & Gilles Enée (2005). Spontaneous Coordination and Evolutionary Learning Processes in an Agent-Based Model. Mind and Society 4 (2):179-195.
Elhanan Borenstein & Eytan Ruppin (2005). The Evolutionary Link Between Mirror Neurons and Imitation: An Evolutionary Adaptive Agents Model. Behavioral and Brain Sciences 28 (2):127-128.
Alvaro Moreno, On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program.
Donald W. Bruckner (2009). In Defense of Adaptive Preferences. Philosophical Studies 142 (3):307 - 324.
Anya Plutynski (2008). The Rise and Fall of the Adaptive Landscape? Biology and Philosophy 23 (5):605-623.
Hugh Breakey (2010). Adaptive Preferences and the Hellenistic Insight. Australian Journal of Professional and Applied Ethics 12 (1):29-39.
Added to index2010-12-22
Total downloads7 ( #142,281 of 722,813 )
Recent downloads (6 months)0
How can I increase my downloads?