More recently he extended his research by investigating the embodied embeddedness of cognition (EEC) in relation to dynamical systems theory (DST). According to Haselager, both EEC and DST sharpen the debate on the role of representations in cognitive science. Currently he investigates the question of how far one can push non-representational ways of modeling intelligent behavior, experimentally and through robotsimulations
Haselager, W.F.G. (1997). Cognitive science and folk psychology: The right frame of mind. London: Sage.
Articles, a selection
Haselager, W.F.G., & Van Rappard, J.F.H. (1998). Connectionism, systematicity, and the frame problem. Minds and Machines, 8 (2), 161-179.
Haselager, W.F.G. (1999). Neurodynamics and the revival of associationism in cognitive science. In A. Riegler, M. Peschl, & A. Von Stein (Eds.), Understanding representation in the cognitive sciences: Does representation need reality? (pp. 115–120). New York: Kluwer Academic / Plenum Publ.
Haselager, W.F.G. (1999). On the potential of non-classical constituency. Acta Analytica, 22, 23-42.
van Rooij, I., Bongers, R.M., & Haselager, W.F.G. (2002). A non-representational approach to imagined action. Cognitive Science, 26(3), 345-375.
Haselager, W.F.G., Bongers, R.M. & van Rooij, I. (2003). Cognitive science, representations and dynamical systems theory. In W. Tschacher and J-P. Dauwalder (Eds.) The dynamical systems approach to cognition: Concepts and empirical paradigms based on self-organization, embodiment, and coordination Dynamics. Studies of Nonlinear Phenomena in Life Science - Vol. 10. (pp. 229–242). Singapore: World Scientific.
Willems, D.J.M. & Haselager, W.F.G. (2003). Cooperative behavior in simulated reactive robots. In T. Heskes, P. Lucas, L. Vuurpijl, W. Wiegerinck (Eds). Proceedings of the 15th Belgium-Netherlands Conference on Artificial Intelligence (BNAIC). (pp. 355–362). Nijmegen: University of Nijmegen.
Frank, S.L., & Haselager, W.F.G. (2006). Robust semantic systematicity and distributed representations in a connectionist model of sentence comprehension. In: R. Sun & N. Miyake (Eds.), Proceedings of the 28th annual conference of the Cognitive Science Society (pp. 226–231), Mahwah, NJ: Erlbaum.