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Abstract Although much of past work in AI has focused on compiled knowledge systems, recent research shows renewed interest and advanced efforts both model-based reasoning the integration this deep with problem solving structures. Device-based can only be as good model used; if needed knowledge, correct detail, or proper theoretical background is not accessible, performance deteriorates. Much references 'no-function-in-structure' principle, which was introduced by de Kleer Brown. they were...

There is increasing evidence that question-answering (QA) systems with Large Language Models (LLMs), which employ a knowledge graph/semantic representation of an enterprise SQL database (i.e. Text-to-SPARQL), achieve higher accuracy compared to answer questions directly on databases Text-to-SQL). Our previous benchmark research showed by using graph, the improved from 16% 54%. The question remains: how can we further improve and reduce error rate? Building observations our where inaccurate...

Agriculture would benefit hugely from a common data ecosystem. Produced and used by diverse stakeholders, smallholders to multinational conglomerates, shared global space help build the infrastructures that will propel industry forward. In light of growing concern there was no single entity could make industry-wide change needed acquire manage necessary data, this paper commissioned Syngenta with GODAN’s assistance catalyse consensus around what form ecosystem might take, how it bring value...

Connectionism challenges a basic assumption of much AI, that mental processes are best viewed as algorithmic symbol manipulations. replaces structures with distributed representations in the form weights between units. For problems close to architecture underlying machines, connectionist and symbolic approaches can make different representational commitments for task and, thus, constitute theories. complex problems, however, power system comes more from content than medium which reside. The...

The US Centers for Disease Control and Prevention (CDC) created the Public Health Information Network to advance fully capable, interoperable information systems in public health organizations. PHIN prioritizes systems' functional requirements, capabilities, performance measures, operational characteristics while letting architects of those choose enabling approaches, methods, concepts meet requirements. also provides a certification process administrators evaluate their infrastructure's...

It is shown that applying functional reasoning to program debugging brings the crisp semantics of programming languages representation. In return, resolves dispute between plan-based and semantics-based approaches. A description given a debugger called DUDU (debugging using device understanding), which identifies correct programs gives meaningful explanations about why incorrect are incorrect. addition template information, representation includes fragments causal stories at various levels...

In this paper, we propose a method for representing and debugging computer programs that combines the best features of two streams research in AI. The representation adopted here normally found only plan representations with an device representations. Not does combined approach solve problems have not been solved by strictly plan-based or proof-based debuggers, but formal nature programming domain has helped us to clarify semantics functional We then introduce notion context-rich call...