Cross-media translation between human motions and texts based on mental image directed semantic theory

Integrated Multimedia Understanding for Ubiquitous Intelligence Based on Mental Image Directed Semantic Theory

“…An actor (i.e., C k ∈ Ac) can be specified by the loci of its structure, performable actions and, if any sensors with it, collectable sensory data. For example, a tanker 'C8' with the coverage [0km,100km] can be characterized by (13) with the attribute 'mileage (A17)'.…”

“…The L md was originally proposed for formalizing the natural semantics, that is, the semantics specific to humans, but it is general enough for the artificial semantics, that is, the semantics specific to each artificial device such as robot. This language has already been implemented on several types of computerized intelligent systems [1], [5], [11]- [13] and there is a feedback loop between them for their mutual refinement, unlike other similar ones [6], [7].…”

Towards Artificial Communication Partners with a Multiagent Mind Model Based on Mental Image Directed Semantic Theory

“…More analytically, these omnisensory images are associated with spatiotemporal changes (or constancies) in certain attributes of the matters scanned by FAO and modeled as temporally parameterized "loci in attribute spaces", so www.intechopen.com Towards Artificial Communication Partners with a Multiagent Mind Model Based on Mental Image Directed Semantic Theory 335 called, to be formulated in the formal language L md . This language has already been implemented on several types of computerized intelligent systems including IMAGES-M (e.g., Yokota et al, 1984;Oda, et al, 2001;Amano, et al, 2005;Yokota & Capi, 2005a). The most remarkable feature of L md is its capability of formalizing spatiotemporal matter concepts grounded in human/robotic sensation while the other similar KRLs are designed to describe the logical relations among conceptual primitives represented by lexical tokens (e.g., Dorr & Bonnie, 1997;Zarri, 1997;Sowa, 2000).…”