 Artificial Intelligence (AI) is one of the major areas of application of temporal logics. Relating temporal reasoning to AI was suggested already in the early philosophical discussion on AI by McCarthy and Hayes (1969), the theory of processes and events in Rescher and Urquhart (1971, Chapter XIV), and the period-based theories of Hamblin (1972); see Øhrstrøm and Hasle (1995) for an overview of these early developments. In the 1980s, temporal representation and reasoning gradually became an increasingly prominent theme in AI with several influential works, including McDermott’s temporal logic for reasoning about processes and plans (McDermott 1982); Allen’s general theory of action and time (Allen 1984); the Event Calculus of Kowalski and Sergot (1986); the reified temporal logic by Shoham (1987); the logic of time representation by Ladkin (1987); and the work on temporal database management by Dean and McDermott (1987). Galton (1987) provides a systematic account of these and other important developments in that period; see also Vila (1994) and Pani and Bhattacharjee (2001) for comprehensive reviews. Influential works in the 1990s include the introduction of interval-based temporal logics by Halpern and Shoham (1991) and by Allen and Ferguson (1994), with representation of actions and events; the Situation Calculus of Pinto and Reiter (1995); and Lamport’s Action Theory (Lamport 1994), etc. Further important developments relating temporal reasoning and AI since then include: temporal reasoning in natural language, temporal ontologies, temporal databases and constraint solving, temporal planning, executable temporal logics, spatial-temporal reasoning, temporal reasoning in agent-based systems, etc. The field has gradually grown so rich and broad — as witnessed by the 20-chapter handbook edited by Fisher et al. (2005) — that it is impossible to even briefly survey it here, so we only bookmark a few of the main issues of philosophical relevance that have been in the focus of temporal reasoning and logics in AI.