Cases, Context, and Comfort: Opportunities for Case-Based Reasoning in Smart Homes

Abstract

Artificial intelligence (AI) methods have the potential for broad impact in smart homes. Different AI methods offer different contributions for this domain, with different design goals, tasks, and circumstances dictating where each type of method best applies. In this chapter, we describe motivations and opportunities for applying case-based reasoning (CBR) to a human-centered approach to the capture, sharing, and revision of knowledge for smart homes. Starting from the CBR cognitive model of reasoning and learning, we illustrate how CBR could provide useful capabilities for problem detection and response, provide a basis for personalization and learning, and provide a paradigm for homehuman communication to cooperatively guide performance improvement. The episodic memory developed by case-based reasoning systems within the home can both guide behaviors by the smart home and help its inhabitants to augment their own memories. After sketching how these capabilities could be served by case-based reasoning, the chapter discusses some design issues for applying CBR within smart homes and case-based reasoning research challenges for realizing the vision.

Is ‘Context-Aware Reasoning = Case-Based Reasoning’?

“…It is demonstrated in Leakes work [27] that CBR can benefit developing a context aware system in designing smart homes where users can customise the requirements by building a case and system can gain knowledge from the context of the environment and then match a case. Kofod and Aamondt [21][22] developed a mobile context aware system where context information is embedded into cases for a situations assessment.…”

Improving the Proactive Recommendation in Smart Home Environments: An Approach Based on Case Based Reasoning and BP-Neural Network

“…It supports scenarios depicting a smart home environment, such as: air conditioning and lighting on/off, TV channel selection). The work by [14] applies case-based-reasoning using neural networks for smart homes, especially eldercare, health-care and emergency solutions.…”

Neural Networks for Smart Homes and Energy Efficiency

“…The work by (Leake et al, 2006) applies case-based-reasoning using neural networks for smart homes, especially eldercare, health-care and emergency solutions. An approach to energy-efficiency in wireless sensor networks is made in (Enami et al, 2010), which is limited to energy consumption of a sensor nodes network itself.…”