By Henrik I. Christensen, Aaron Sloman, Geert-Jan Kruijff, Jeremy L. Wyatt (auth.), Henrik Iskov Christensen, Geert-Jan M. Kruijff, Jeremy L. Wyatt (eds.)
Design of cognitive structures for information to humans poses a big problem to the fields of robotics and synthetic intelligence. The Cognitive structures for Cognitive assistance (CoSy) undertaking used to be prepared to deal with the problems of i) theoretical growth on layout of cognitive platforms ii) tools for implementation of platforms and iii) empirical reports to additional comprehend the use and interplay with such structures. to review, layout and set up cognitive structures there's a have to considers facets of platforms layout, embodiment, notion, making plans and mistake restoration, spatial insertion, wisdom acquisition and laptop studying, conversation layout and human robotic interplay and structures integration. The comfortable undertaking addressed all of those facets over a interval of 4 years and throughout diversified domain names of software – exploration of area and activity / wisdom acquisition for manipulation. the current quantity records the result of the comfortable venture. The snug venture was once funded via the eu fee as a part of the Cognitive platforms application in the sixth Framework Program.
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In this project we have taken the approach that dialogue models and object models should cross-fertilize through cross-modal integration. Learning, and linguistic semantic ontologies have been tightly coupled with perceptual and planning ontologies. On the one hand language can serve as a trigger and provide guidance to learn and acquire new models but also to structure models and representations. On the other hand the role of object models and representations used in perception and action may serve as partial determinants 1 Cognitive Systems Introduction 27 of the semantics of the language.
102]). The embodiment and the cognitive character of the systems we have considered in this project add several new issues and twists. Cognitively plausible architecture. Multi-modal dialogue systems are engineered so as to optimally perform the task that they have been designed for. Resource-bounds, introduced to increase the naturalness of human-system communication, may appear ad-hoc unless they are motivated on cognitive grounds. For example, there is no reason for a system’s memory and its reasoning capabilities to be bounded; it is humans who forget or are unaware of some logical consequences of their beliefs (cf.
Collaborative action planning is not possible without communication. However, diﬀerent groups of agents may have diﬀerent ways to communicate. Groups of artiﬁcial agents can communicate using special-purpose languages with rigid protocols, while human-robot interactions should allow the human to use more convenient methods (cf. 6). For the sake of scientiﬁc clarity, we have adopted an abstract view of communication, assuming that a group of agents has decided on a common language and protocol that allows them to communicate beliefs and intentions by abstract “communicative acts” if they decide to do so.
Cognitive Systems by Henrik I. Christensen, Aaron Sloman, Geert-Jan Kruijff, Jeremy L. Wyatt (auth.), Henrik Iskov Christensen, Geert-Jan M. Kruijff, Jeremy L. Wyatt (eds.)